{"disclaimer":"Transcripts available through this tool are created by using automatic speech recognition and are not official records nor official documents of the United Nations. Official records and official documents are available on the Official Document System of the United Nations.","llms":{"note":"Plain-text sibling of this page, compact for LLM context. For the full API guide (search, listing, URL grammar) see /llms.txt.","textUrl":"/fr/asset/k14/k144bbm3s3.txt","guide":"/llms.txt"},"video":{"id":"k14/k144bbm3s3","kaltura_id":"1_44bbm3s3","title":"Artificial intelligence and the Future of Counter-Terrorism: Reshaping Institutions and Operational Realities (Counter-Terrorism Week Side Event)","clean_title":"Artificial intelligence and the Future of Counter-Terrorism: Reshaping Institutions and Operational Realities (Counter-Terrorism Week Side Event)","url":"https://webtv.un.org/en/asset/k14/k144bbm3s3","date":"2026-07-01T00:00:00.000Z","scheduled_time":"2026-07-01T14:00:00.000Z","status":"finished","duration":"01:27:36","category":"Side Events","body":null,"event_code":null,"event_type":null,"session_number":null,"pv_symbol":null,"pv_part":null,"slug":"asset/k14/k144bbm3s3"},"metadata":{"summary":"The event will discuss and identify strategic priorities for Member States in adapting counter-terrorism policies and cooperation frameworks to the opportunities and risks posed by Artificial Intelligence and will share successes and lesson learned from the UNOCT and UNICRI led initiatives, such as CT TECH+ and AI POL.","description":"Artificial Intelligence is increasingly an operational reality in the field of counter-terrorism, reshaping both the threat landscape and the operational practice of counter-terrorism. To examine how AI continues to reshape counter-terrorism institutions, decision making, and operational realities at the national and international level, including with regard to its responsible use, on 1 July 2006 the European Union, India, Japan and the United Arab Emirates in cooperation with the United Nations Office of Counter-Terrorism and the United Nations Interregional Crime and Justice Research Institute is organizing a side event \"AI and the Future of Counter-Terrorism: Reshaping Institutions and Operational Realities\". The event will discuss and identify strategic priorities for Member States in adapting counter-terrorism policies and cooperation frameworks to the opportunities and risks posed by Artificial Intelligence and will share successes and lesson learned from the UNOCT and UNICRI led initiatives, such as CT TECH+ and AI POL. It is expected that the event will foster a shared high-level understanding among participating Member States and partners of the strategic implications of AI for counter-terrorism institutions and operations, including considerations related to its responsible use and will serve as a basis for continued engagement with UNOCT. UNICRI, and other relevant partners under a broader strategic framework.","categories":["Meetings & Events","Side Events"],"geographic_subject":[],"subject_topical":["ARTIFICIAL INTELLIGENCE","COUNTER-TERRORISM","DIGITAL TECHNOLOGY","TERRORISM"],"corporate_name":[],"speaker_affiliation":[],"related_documents":[]},"transcript":{"transcript_id":"assemblyai-universal-3-pro-a32e4c3f-efbe-4e13-bcde-f7610804c3fe","language":"en","data":[{"statement_number":1,"paragraphs":[{"sentences":[{"text":"Good morning, everybody, and welcome.","start":1.992,"end":4.277,"topics":[],"words":[{"text":"Good","start":1.992,"end":2.155},{"text":"morning,","start":2.155,"end":2.4},{"text":"everybody,","start":2.416,"end":2.808},{"text":"and","start":3.771,"end":3.853},{"text":"welcome.","start":3.869,"end":4.277}]},{"text":"Thanks for bearing with us while we were waiting for everybody to arrive.","start":4.685,"end":6.856,"topics":[],"words":[{"text":"Thanks","start":4.685,"end":4.93},{"text":"for","start":4.93,"end":4.995},{"text":"bearing","start":5.012,"end":5.224},{"text":"with","start":5.257,"end":5.436},{"text":"us","start":5.436,"end":5.583},{"text":"while","start":5.583,"end":5.746},{"text":"we","start":5.746,"end":5.812},{"text":"were","start":5.812,"end":5.844},{"text":"waiting","start":5.844,"end":6.122},{"text":"for","start":6.138,"end":6.22},{"text":"everybody","start":6.22,"end":6.481},{"text":"to","start":6.481,"end":6.644},{"text":"arrive.","start":6.644,"end":6.856}]},{"text":"My name is Oren McCarthy.","start":8.4,"end":9.688,"topics":[],"words":[{"text":"My","start":8.4,"end":8.512},{"text":"name","start":8.512,"end":8.625},{"text":"is","start":8.673,"end":8.802},{"text":"Oren","start":9.06,"end":9.205},{"text":"McCarthy.","start":9.237,"end":9.688}]},{"text":"I am the liaison officer for the United Nations Interregional Crime and Justice Research Institute here in New York, and I have the pleasure of co-moderating today's session on artificial intelligence and the future of counterterrorism, reshaping institutions and operational 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be co-moderating together with my colleague Akvila Oginotiene.","start":24.322,"end":27.769,"topics":[],"words":[{"text":"I'll","start":24.322,"end":25.115},{"text":"be","start":25.115,"end":25.196},{"text":"co-moderating","start":25.196,"end":25.665},{"text":"together","start":25.843,"end":26.037},{"text":"with","start":26.037,"end":26.183},{"text":"my","start":26.183,"end":26.329},{"text":"colleague","start":26.329,"end":26.733},{"text":"Akvila","start":26.814,"end":27.299},{"text":"Oginotiene.","start":27.299,"end":27.769}]},{"text":"From UNOCT.","start":28.348,"end":29.659,"topics":[],"words":[{"text":"From","start":28.348,"end":28.493},{"text":"UNOCT.","start":28.752,"end":29.659}]},{"text":"Just a quick couple of opening, kind of to set the scene and housekeeping 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this event is the follow-up of an event that we did in December, which was co-organized by UNICRI, UNOCT, the Permanent Mission of India, and the Permanent Mission of 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now have the permanent mission of India, permanent mission of UAE, permanent mission of Japan, and the European 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I think, to the importance of the conversation that's been started around this 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so with that, I will now hand over to our distinguished opening speakers.","start":74.393,"end":81.191,"topics":[],"words":[{"text":"And","start":74.393,"end":74.617},{"text":"so","start":74.729,"end":74.89},{"text":"with","start":74.89,"end":75.05},{"text":"that,","start":75.05,"end":75.355},{"text":"I","start":76.156,"end":76.204},{"text":"will","start":76.237,"end":76.349},{"text":"now","start":76.349,"end":76.429},{"text":"hand","start":76.718,"end":77.102},{"text":"over","start":77.519,"end":77.76},{"text":"to","start":77.76,"end":78},{"text":"our","start":78.08,"end":78.658},{"text":"distinguished","start":78.818,"end":79.636},{"text":"opening","start":80.421,"end":80.71},{"text":"speakers.","start":80.806,"end":81.191}]},{"text":"And so I have the pleasure to introduce His Excellency Mr. Harish Prava Taneni, who is the Ambassador and Permanent Representative of India to the United 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over to you.","start":89.723,"end":90.633,"topics":[],"words":[{"text":"Ambassador,","start":89.723,"end":90.195},{"text":"over","start":90.373,"end":90.471},{"text":"to","start":90.471,"end":90.52},{"text":"you.","start":90.536,"end":90.633}]}]}],"speaker":{"name":"Oren McCarthy","affiliation":"UNICRI","affiliation_full":"UNICRI","group":null,"function":"Liaison Officer"}},{"statement_number":2,"paragraphs":[{"sentences":[{"text":"Thank you, dear Moderator, Excellencies, dear colleagues, all protocols observed.","start":93.34,"end":98.261,"topics":[],"words":[{"text":"Thank","start":93.34,"end":93.42},{"text":"you,","start":93.42,"end":93.501},{"text":"dear","start":93.517,"end":93.646},{"text":"Moderator,","start":93.678,"end":94.179},{"text":"Excellencies,","start":94.663,"end":95.195},{"text":"dear","start":96.018,"end":96.147},{"text":"colleagues,","start":96.196,"end":96.567},{"text":"all","start":97.148,"end":97.196},{"text":"protocols","start":97.309,"end":97.745},{"text":"observed.","start":97.745,"end":98.261}]},{"text":"It gives me great pleasure to join you today.","start":98.616,"end":100.31,"topics":[],"words":[{"text":"It","start":98.616,"end":98.745},{"text":"gives","start":98.761,"end":98.987},{"text":"me","start":99.003,"end":99.1},{"text":"great","start":99.1,"end":99.326},{"text":"pleasure","start":99.342,"end":99.665},{"text":"to","start":99.665,"end":99.746},{"text":"join","start":99.746,"end":99.939},{"text":"you","start":99.971,"end":100.068},{"text":"today.","start":100.068,"end":100.31}]},{"text":"It was only in December that we came together here at the UN in this format to discuss building operational capacities for the use of AI in counter-terrorism.","start":101.256,"end":109.819,"topics":[{"key":"institutional-readiness","label":"Institutional Readiness and Capacity-Building","description":"A major topic was whether institutions can adapt quickly enough to use AI effectively and responsibly. 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A central theme was how AI is changing counter-terrorism from a slower human-led process into a faster, data-driven contest over capability and trust."}],"words":[{"text":"However,","start":115.312,"end":115.636},{"text":"in","start":115.653,"end":115.701},{"text":"the","start":115.734,"end":115.879},{"text":"AI","start":115.96,"end":116.09},{"text":"space,","start":116.139,"end":116.528},{"text":"6","start":116.884,"end":117.111},{"text":"months","start":117.111,"end":117.354},{"text":"is","start":117.354,"end":117.5},{"text":"a","start":117.5,"end":117.516},{"text":"lifetime.","start":117.581,"end":117.888}]},{"text":"In this period, we have expanded our partnerships and collaboration to include Japan, the EU, and other partners, while retaining UAE and UNICRI, who we work closely with, along with the UNOCT.","start":119.696,"end":132.982,"topics":[{"key":"multistakeholder-cooperation","label":"International and Multi-Stakeholder Cooperation","description":"A recurring theme was that no single country or institution can address AI-related terrorist threats alone. 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this is for us a a positive development of the growing importance of this subject in the UN.","start":135.324,"end":141.132,"topics":[],"words":[{"text":"So","start":135.324,"end":135.517},{"text":"this","start":135.517,"end":135.631},{"text":"is","start":135.727,"end":135.792},{"text":"for","start":135.905,"end":136.131},{"text":"us","start":136.131,"end":136.212},{"text":"a","start":136.212,"end":136.373},{"text":"a","start":136.62,"end":136.652},{"text":"positive","start":136.652,"end":137.135},{"text":"development","start":137.135,"end":137.651},{"text":"of","start":137.683,"end":137.78},{"text":"the","start":137.78,"end":137.86},{"text":"growing","start":137.86,"end":138.15},{"text":"importance","start":138.843,"end":139.391},{"text":"of","start":139.391,"end":139.52},{"text":"this","start":139.536,"end":139.633},{"text":"subject","start":139.633,"end":140.165},{"text":"in","start":140.664,"end":140.729},{"text":"the","start":140.761,"end":140.809},{"text":"UN.","start":140.841,"end":141.132}]},{"text":"While I can use the time allotted here to talk about our co-organizers who are firmly committed to counterterrorism as much as we are, especially in the AI domain, um, I want to do something different in my opening 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just asked AI what happened in the AI and CT space in the last 6 months.","start":157.181,"end":161.835,"topics":[],"words":[{"text":"I","start":157.181,"end":157.213},{"text":"just","start":157.262,"end":157.455},{"text":"asked","start":157.568,"end":157.761},{"text":"AI","start":157.761,"end":158.019},{"text":"what","start":158.453,"end":158.614},{"text":"happened","start":158.614,"end":159.017},{"text":"in","start":159.017,"end":159.065},{"text":"the","start":159.098,"end":159.259},{"text":"AI","start":159.275,"end":159.548},{"text":"and","start":159.742,"end":159.806},{"text":"CT","start":159.838,"end":160.16},{"text":"space","start":160.16,"end":160.66},{"text":"in","start":161.046,"end":161.094},{"text":"the","start":161.127,"end":161.271},{"text":"last","start":161.271,"end":161.4},{"text":"6","start":161.4,"end":161.69},{"text":"months.","start":161.69,"end":161.835}]},{"text":"And the answer was of particular note, and I'm going to read it out 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Concerns included surveillance abuse, predictive policing risks, transparency, explainability, data protection, and the need for meaningful human oversight and accountability."}],"words":[{"text":"In","start":358.896,"end":358.976},{"text":"closing,","start":358.976,"end":359.267},{"text":"let","start":359.299,"end":359.412},{"text":"me","start":359.46,"end":359.573},{"text":"once","start":359.605,"end":359.782},{"text":"again","start":359.782,"end":360.088},{"text":"reiterate","start":360.088,"end":360.507},{"text":"my","start":360.507,"end":360.669},{"text":"Prime","start":360.669,"end":360.814},{"text":"Minister's","start":360.814,"end":361.378},{"text":"word","start":361.378,"end":361.555},{"text":"of","start":361.555,"end":361.652},{"text":"caution","start":361.716,"end":362.006},{"text":"that","start":362.828,"end":362.989},{"text":"in","start":362.989,"end":363.038},{"text":"today's","start":363.086,"end":363.312},{"text":"interconnected","start":363.344,"end":363.94},{"text":"world,","start":363.973,"end":364.263},{"text":"security","start":364.553,"end":365.069},{"text":"cannot","start":365.165,"end":365.504},{"text":"be","start":365.568,"end":365.616},{"text":"an","start":365.665,"end":365.81},{"text":"afterthought.","start":365.81,"end":366.309}]},{"text":"It has to be at the core of our decision-making.","start":366.89,"end":368.923,"topics":[],"words":[{"text":"It","start":366.89,"end":366.97},{"text":"has","start":366.97,"end":367.164},{"text":"to","start":367.196,"end":367.357},{"text":"be","start":367.357,"end":367.438},{"text":"at","start":367.454,"end":367.534},{"text":"the","start":367.534,"end":367.663},{"text":"core","start":367.76,"end":367.986},{"text":"of","start":367.986,"end":368.066},{"text":"our","start":368.066,"end":368.163},{"text":"decision-making.","start":368.163,"end":368.923}]},{"text":"I wish you all fruitful deliberations.","start":369.682,"end":371.072,"topics":[],"words":[{"text":"I","start":369.682,"end":369.698},{"text":"wish","start":369.698,"end":369.828},{"text":"you","start":369.86,"end":370.021},{"text":"all","start":370.021,"end":370.151},{"text":"fruitful","start":370.167,"end":370.506},{"text":"deliberations.","start":370.506,"end":371.072}]},{"text":"Thank you very much.","start":371.217,"end":371.783,"topics":[],"words":[{"text":"Thank","start":371.217,"end":371.33},{"text":"you","start":371.33,"end":371.427},{"text":"very","start":371.427,"end":371.556},{"text":"much.","start":371.556,"end":371.783}]}]}],"speaker":{"name":"Harish Prava Taneni","affiliation":"IND","affiliation_full":"India","group":null,"function":"Ambassador and Permanent Representative"}},{"statement_number":3,"paragraphs":[{"sentences":[{"text":"Thank you very much, Ambassador.","start":373.665,"end":374.555,"topics":[],"words":[{"text":"Thank","start":373.665,"end":373.762},{"text":"you","start":373.762,"end":373.827},{"text":"very","start":373.827,"end":373.94},{"text":"much,","start":373.94,"end":374.069},{"text":"Ambassador.","start":374.086,"end":374.555}]},{"text":"Very appreciative of the support to UNIKO and UNOCT on this issue, and I can only fully agree in terms of the technology really not being an emerging technology anymore, being an operational reality.","start":374.797,"end":385.026,"topics":[{"key":"ai-threat-multiplier","label":"AI as Threat and Security Tool","description":"Speakers repeatedly described artificial intelligence as a double-edged technology: terrorists can use it for propaganda, recruitment, deception, and operational support, while states can use it to improve detection, analysis, and prevention. 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from Japan was, was one of the kickstarters in many ways for, for our work in the 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Mr. Maqsoud Khruz, who is the Envoy of the Minister of Foreign Affairs for Countering Extremism and Terrorism of the United Arab 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Khruz","affiliation":"ARE","affiliation_full":"United Arab Emirates","group":null,"function":"Envoy of the Minister of Foreign Affairs for Countering Extremism and Terrorism"}},{"statement_number":7,"paragraphs":[{"sentences":[{"text":"Thank you very much, Excellency.","start":1212.51,"end":1216.328,"topics":[],"words":[{"text":"Thank","start":1212.51,"end":1212.606},{"text":"you","start":1212.606,"end":1212.8},{"text":"very","start":1215.523,"end":1215.635},{"text":"much,","start":1215.635,"end":1215.829},{"text":"Excellency.","start":1215.845,"end":1216.328}]},{"text":"We appreciate the support and partnering on this event once again and continuing the partnership we started in 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and we're of course looking forward to hearing more from the insights from the UAE shortly.","start":1223.958,"end":1228.349,"topics":[],"words":[{"text":"So,","start":1223.958,"end":1224.394},{"text":"and","start":1224.426,"end":1224.491},{"text":"we're","start":1224.571,"end":1224.717},{"text":"of","start":1224.733,"end":1224.83},{"text":"course","start":1224.83,"end":1225.056},{"text":"looking","start":1225.056,"end":1225.233},{"text":"forward","start":1225.233,"end":1225.362},{"text":"to","start":1225.395,"end":1225.459},{"text":"hearing","start":1225.459,"end":1225.685},{"text":"more","start":1225.718,"end":1225.895},{"text":"from","start":1226.024,"end":1226.17},{"text":"the","start":1226.363,"end":1226.589},{"text":"insights","start":1226.605,"end":1226.993},{"text":"from","start":1226.993,"end":1227.09},{"text":"the","start":1227.106,"end":1227.235},{"text":"UAE","start":1227.235,"end":1227.413},{"text":"shortly.","start":1228.058,"end":1228.349}]},{"text":"But before that, we have one more speaker.","start":1229.324,"end":1230.994,"topics":[],"words":[{"text":"But","start":1229.324,"end":1229.404},{"text":"before","start":1229.404,"end":1229.677},{"text":"that,","start":1229.709,"end":1229.854},{"text":"we","start":1229.87,"end":1229.95},{"text":"have","start":1229.95,"end":1230.095},{"text":"one","start":1230.432,"end":1230.496},{"text":"more","start":1230.528,"end":1230.673},{"text":"speaker.","start":1230.673,"end":1230.994}]},{"text":"So we— I will now pass the floor to Ms. Anna Stravska, Special Envoy for Counterterrorism, the European External Action Services for the European 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Stravska, over to you.","start":1238.251,"end":1240.082,"topics":[],"words":[{"text":"Ms.","start":1238.251,"end":1238.669},{"text":"Stravska,","start":1238.717,"end":1239.118},{"text":"over","start":1239.199,"end":1239.375},{"text":"to","start":1239.375,"end":1239.616},{"text":"you.","start":1239.68,"end":1240.082}]}]}],"speaker":{"name":"Oren McCarthy","affiliation":"UNICRI","affiliation_full":"UNICRI","group":null,"function":"Liaison Officer"}},{"statement_number":8,"paragraphs":[{"sentences":[{"text":"Thank you.","start":1240.483,"end":1240.82,"topics":[],"words":[{"text":"Thank","start":1240.483,"end":1240.724},{"text":"you.","start":1240.724,"end":1240.82}]},{"text":"Excellencies, distinguished colleagues, it's a pleasure to be here.","start":1241.848,"end":1244.851,"topics":[],"words":[{"text":"Excellencies,","start":1241.848,"end":1242.538},{"text":"distinguished","start":1242.635,"end":1243.197},{"text":"colleagues,","start":1243.213,"end":1243.55},{"text":"it's","start":1243.711,"end":1243.919},{"text":"a","start":1243.919,"end":1244},{"text":"pleasure","start":1244,"end":1244.337},{"text":"to","start":1244.337,"end":1244.481},{"text":"be","start":1244.481,"end":1244.529},{"text":"here.","start":1244.578,"end":1244.851}]},{"text":"And on behalf of the European Union, I would like to welcome you all as one of the hosts of this 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thanks go to to my fellow co-hosts, His Excellency Ambassador Parvat Khethani from India, His Excellency Ambassador Minami from Japan, and His Excellency Special Envoy Cruz from UEA, for the partnership that has brought us together, and also to our colleagues from UNICRI and UNOCT, whose work underpins so much of what we will discuss today.","start":1252.67,"end":1275.133,"topics":[{"key":"multistakeholder-cooperation","label":"International and Multi-Stakeholder Cooperation","description":"A recurring theme was that no single country or institution can address AI-related terrorist threats alone. 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A central theme was how AI is changing counter-terrorism from a slower human-led process into a faster, data-driven contest over capability and trust."}],"words":[{"text":"In","start":1284.52,"end":1284.568},{"text":"counter-terrorism,","start":1284.681,"end":1285.566},{"text":"artificial","start":1285.808,"end":1286.355},{"text":"intelligence","start":1286.355,"end":1287.016},{"text":"is","start":1287.016,"end":1287.112},{"text":"a","start":1287.112,"end":1287.177},{"text":"double-edged","start":1287.177,"end":1287.917},{"text":"sword.","start":1288.062,"end":1288.61}]},{"text":"The same tools that help our law enforcement and security authorities to make sense of large amounts of data and act earlier are being turned against us.","start":1289.431,"end":1299.784,"topics":[{"key":"ai-threat-multiplier","label":"AI as Threat and Security Tool","description":"Speakers repeatedly described artificial intelligence as a double-edged technology: terrorists can use it for propaganda, recruitment, deception, and operational support, while states can use it to improve detection, analysis, and prevention. 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Discussion also covered responses such as content moderation, youth digital resilience, and monitoring of gaming and other online spaces vulnerable to extremist exploitation."}],"words":[{"text":"Terrorists","start":1300.834,"end":1301.253},{"text":"and","start":1301.253,"end":1301.383},{"text":"violent","start":1301.415,"end":1301.738},{"text":"extremist","start":1301.738,"end":1302.367},{"text":"actors","start":1302.448,"end":1302.803},{"text":"are","start":1303.094,"end":1303.207},{"text":"exploiting","start":1303.207,"end":1303.853},{"text":"widely","start":1304.063,"end":1304.45},{"text":"available","start":1304.482,"end":1304.967},{"text":"technologies","start":1304.967,"end":1305.548},{"text":"to","start":1305.994,"end":1306.074},{"text":"produce","start":1306.074,"end":1306.478},{"text":"propaganda,","start":1306.478,"end":1307.349},{"text":"recruit,","start":1307.607,"end":1308.09},{"text":"and","start":1308.655,"end":1308.832},{"text":"to","start":1308.832,"end":1308.945},{"text":"plan","start":1308.978,"end":1309.268},{"text":"and","start":1309.3,"end":1309.365},{"text":"conceal","start":1309.461,"end":1309.897},{"text":"their","start":1309.945,"end":1310.171},{"text":"operations.","start":1310.171,"end":1310.655}]},{"text":"Europol is the EU agency— warned us early in 2024 that supporters of Islamic State have started using generative artificial intelligence to create propaganda.","start":1312.272,"end":1323.22,"topics":[{"key":"online-extremist-content","label":"Online Extremist Content and Radicalization","description":"Many statements addressed the use of generative AI in extremist propaganda, recruitment, misinformation, deepfakes, and hate content online. 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as you mentioned, a lot of the content that will follow will be built on the backbones of 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so we're delighted to be here to present, um, and share insights from both of these initiatives 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so with that, uh, we wrap up the opening remarks.","start":1552.851,"end":1556.121,"topics":[],"words":[{"text":"Um,","start":1552.851,"end":1552.995},{"text":"so","start":1553.203,"end":1553.364},{"text":"with","start":1553.364,"end":1553.46},{"text":"that,","start":1553.492,"end":1553.716},{"text":"uh,","start":1553.893,"end":1553.941},{"text":"we","start":1554.213,"end":1554.31},{"text":"wrap","start":1554.694,"end":1554.887},{"text":"up","start":1554.887,"end":1555.095},{"text":"the","start":1555.095,"end":1555.256},{"text":"opening","start":1555.272,"end":1555.56},{"text":"remarks.","start":1555.817,"end":1556.121}]},{"text":"So thank you, uh, on behalf of everybody to the distinguished representatives and speakers.","start":1556.218,"end":1560.322,"topics":[],"words":[{"text":"So","start":1556.218,"end":1556.314},{"text":"thank","start":1556.314,"end":1556.635},{"text":"you,","start":1556.635,"end":1556.811},{"text":"uh,","start":1557.18,"end":1557.196},{"text":"on","start":1557.42,"end":1557.468},{"text":"behalf","start":1557.516,"end":1557.853},{"text":"of","start":1557.853,"end":1557.997},{"text":"everybody","start":1557.997,"end":1558.382},{"text":"to","start":1558.382,"end":1558.494},{"text":"the","start":1558.559,"end":1558.751},{"text":"distinguished","start":1558.959,"end":1559.36},{"text":"representatives","start":1559.36,"end":1559.921},{"text":"and","start":1559.921,"end":1560.002},{"text":"speakers.","start":1560.002,"end":1560.322}]},{"text":"Um, and we will now move into the next session, which is focused on keeping pace with innovation, the state of AI and 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I have the honor and pleasure of handing the floor to His Excellency Dr. Mohammed Al-Kuwaiti, who is the head of the United Arab Emirates Cybersecurity Council, and we're delighted to have you back again with us once 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have a few slides, if you allow me, in order to actually go over them with everybody here, and actually it articulates more into the essence of using AI into that terrorism aspects.","start":1589.821,"end":1606.039,"topics":[{"key":"ai-threat-multiplier","label":"AI as Threat and Security Tool","description":"Speakers repeatedly described artificial intelligence as a double-edged technology: terrorists can use it for propaganda, recruitment, deception, and operational support, while states can use it to improve detection, analysis, and prevention. 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Discussion also covered responses such as content moderation, youth digital resilience, and monitoring of gaming and other online spaces vulnerable to extremist exploitation."}],"words":[{"text":"And","start":2208.322,"end":2208.533},{"text":"also,","start":2208.631,"end":2209.296},{"text":"people","start":2209.784,"end":2210.092},{"text":"in","start":2210.092,"end":2210.157},{"text":"the","start":2210.19,"end":2210.271},{"text":"world,","start":2210.271,"end":2211.375},{"text":"different","start":2212.057,"end":2212.382},{"text":"from","start":2212.382,"end":2213.145},{"text":"last","start":2213.519,"end":2213.762},{"text":"decades,","start":2213.762,"end":2214.136},{"text":"more","start":2214.802,"end":2214.915},{"text":"familiar,","start":2214.964,"end":2215.403},{"text":"become","start":2215.549,"end":2215.825},{"text":"more","start":2215.874,"end":2215.987},{"text":"familiar","start":2216.036,"end":2216.442},{"text":"with","start":2216.442,"end":2216.717},{"text":"anime","start":2217.251,"end":2217.51},{"text":"and","start":2218.125,"end":2218.675},{"text":"music,","start":2218.87,"end":2219.533},{"text":"J-pop","start":2219.663,"end":2220.148},{"text":"contents.","start":2220.181,"end":2220.715}]},{"text":"And this picture is from Demon Slayer.","start":2221.524,"end":2224.939,"topics":[],"words":[{"text":"And","start":2221.524,"end":2222.026},{"text":"this","start":2222.026,"end":2222.204},{"text":"picture","start":2222.673,"end":2223.159},{"text":"is","start":2223.24,"end":2223.369},{"text":"from","start":2223.903,"end":2224.146},{"text":"Demon","start":2224.211,"end":2224.534},{"text":"Slayer.","start":2224.534,"end":2224.939}]},{"text":"I believe that more children are familiar with this type of anime content.","start":2225.523,"end":2232.369,"topics":[],"words":[{"text":"I","start":2225.523,"end":2225.571},{"text":"believe","start":2225.748,"end":2226.053},{"text":"that","start":2226.086,"end":2226.471},{"text":"more","start":2226.873,"end":2227.002},{"text":"children","start":2227.13,"end":2227.58},{"text":"are","start":2227.998,"end":2229.316},{"text":"familiar","start":2229.605,"end":2230.023},{"text":"with","start":2230.023,"end":2230.232},{"text":"this","start":2230.248,"end":2230.376},{"text":"type","start":2230.746,"end":2230.987},{"text":"of","start":2230.987,"end":2231.116},{"text":"anime","start":2231.292,"end":2231.791},{"text":"content.","start":2232.032,"end":2232.369}]},{"text":"So that means they will be more influenced with this content.","start":2232.916,"end":2237.922,"topics":[],"words":[{"text":"So","start":2232.916,"end":2233.253},{"text":"that","start":2233.639,"end":2233.848},{"text":"means","start":2233.96,"end":2234.169},{"text":"they","start":2234.508,"end":2234.573},{"text":"will","start":2234.573,"end":2234.638},{"text":"be","start":2234.767,"end":2235.01},{"text":"more","start":2235.414,"end":2235.689},{"text":"influenced","start":2235.738,"end":2236.433},{"text":"with","start":2237.194,"end":2237.307},{"text":"this","start":2237.355,"end":2237.485},{"text":"content.","start":2237.598,"end":2237.922}]},{"text":"If— and next, please.","start":2238.261,"end":2240.478,"topics":[],"words":[{"text":"If—","start":2238.261,"end":2238.423},{"text":"and","start":2239.863,"end":2239.928},{"text":"next,","start":2240.089,"end":2240.251},{"text":"please.","start":2240.267,"end":2240.478}]},{"text":"So after we see that, we see many powerful video or image models, AI models, we also see some IP characters in the output of gen AI models, which is not, you know, lawful.","start":2241.4,"end":2259.655,"topics":[{"key":"online-extremist-content","label":"Online Extremist Content and Radicalization","description":"Many statements addressed the use of generative AI in extremist propaganda, recruitment, misinformation, deepfakes, and hate content online. Discussion also covered responses such as content moderation, youth digital resilience, and monitoring of gaming and other online spaces vulnerable to extremist exploitation."}],"words":[{"text":"So","start":2241.4,"end":2241.885},{"text":"after","start":2242.597,"end":2242.856},{"text":"we","start":2243.26,"end":2243.341},{"text":"see","start":2243.39,"end":2243.438},{"text":"that,","start":2243.584,"end":2243.876},{"text":"we","start":2244.232,"end":2244.33},{"text":"see","start":2244.33,"end":2244.654},{"text":"many","start":2244.654,"end":2244.929},{"text":"powerful","start":2245.772,"end":2246.21},{"text":"video","start":2246.664,"end":2246.972},{"text":"or","start":2247.215,"end":2247.264},{"text":"image","start":2247.475,"end":2247.685},{"text":"models,","start":2247.783,"end":2248.172},{"text":"AI","start":2248.512,"end":2248.625},{"text":"models,","start":2248.625,"end":2249.031},{"text":"we","start":2250.068,"end":2250.133},{"text":"also","start":2250.214,"end":2250.409},{"text":"see","start":2250.457,"end":2250.717},{"text":"some","start":2250.717,"end":2251.138},{"text":"IP","start":2251.637,"end":2252.055},{"text":"characters","start":2253.083,"end":2253.71},{"text":"in","start":2253.983,"end":2254.031},{"text":"the","start":2254.208,"end":2254.465},{"text":"output","start":2254.625,"end":2255.011},{"text":"of","start":2255.011,"end":2255.075},{"text":"gen","start":2255.509,"end":2255.702},{"text":"AI","start":2255.895,"end":2256.007},{"text":"models,","start":2256.007,"end":2256.441},{"text":"which","start":2257.261,"end":2257.437},{"text":"is","start":2257.437,"end":2257.485},{"text":"not,","start":2257.614,"end":2257.919},{"text":"you","start":2258.225,"end":2258.257},{"text":"know,","start":2258.257,"end":2258.466},{"text":"lawful.","start":2259.285,"end":2259.655}]},{"text":"So we see three key problems in recent video generative models.","start":2260.956,"end":2268.17,"topics":[{"key":"online-extremist-content","label":"Online Extremist Content and Radicalization","description":"Many statements addressed the use of generative AI in extremist propaganda, recruitment, misinformation, deepfakes, and hate content online. Discussion also covered responses such as content moderation, youth digital resilience, and monitoring of gaming and other online spaces vulnerable to extremist exploitation."}],"words":[{"text":"So","start":2260.956,"end":2261.261},{"text":"we","start":2261.856,"end":2261.936},{"text":"see","start":2261.936,"end":2262.258},{"text":"three","start":2262.258,"end":2262.997},{"text":"key","start":2263.607,"end":2263.8},{"text":"problems","start":2264.732,"end":2265.278},{"text":"in","start":2265.857,"end":2265.921},{"text":"recent","start":2266.194,"end":2266.756},{"text":"video","start":2266.997,"end":2267.319},{"text":"generative","start":2267.319,"end":2267.801},{"text":"models.","start":2267.801,"end":2268.17}]},{"text":"The first one is copyright infringement.","start":2268.909,"end":2271.03,"topics":[],"words":[{"text":"The","start":2268.909,"end":2268.99},{"text":"first","start":2268.99,"end":2269.311},{"text":"one","start":2269.311,"end":2269.504},{"text":"is","start":2269.552,"end":2269.616},{"text":"copyright","start":2269.729,"end":2270.211},{"text":"infringement.","start":2270.291,"end":2271.03}]},{"text":"So we see a lot of characters, famous characters, in the output.","start":2271.593,"end":2275.674,"topics":[{"key":"online-extremist-content","label":"Online Extremist Content and Radicalization","description":"Many statements addressed the use of generative AI in extremist propaganda, recruitment, misinformation, deepfakes, and hate content online. Discussion also covered responses such as content moderation, youth digital resilience, and monitoring of gaming and other online spaces vulnerable to extremist exploitation."}],"words":[{"text":"So","start":2271.593,"end":2271.753},{"text":"we","start":2271.818,"end":2271.898},{"text":"see","start":2271.898,"end":2272.219},{"text":"a","start":2272.219,"end":2272.3},{"text":"lot","start":2272.3,"end":2272.525},{"text":"of","start":2272.525,"end":2272.589},{"text":"characters,","start":2272.621,"end":2273.151},{"text":"famous","start":2273.746,"end":2274.035},{"text":"characters,","start":2274.131,"end":2274.597},{"text":"in","start":2274.854,"end":2274.919},{"text":"the","start":2274.951,"end":2275.192},{"text":"output.","start":2275.336,"end":2275.674}]},{"text":"And the second one is not directly related to copyright because the style is not currently protected by any— by law.","start":2276.381,"end":2285.309,"topics":[],"words":[{"text":"And","start":2276.381,"end":2276.461},{"text":"the","start":2276.477,"end":2276.558},{"text":"second","start":2276.558,"end":2276.879},{"text":"one","start":2276.943,"end":2277.072},{"text":"is","start":2277.265,"end":2277.329},{"text":"not","start":2278.389,"end":2278.742},{"text":"directly","start":2279.031,"end":2279.416},{"text":"related","start":2279.432,"end":2279.866},{"text":"to","start":2279.914,"end":2280.059},{"text":"copyright","start":2280.075,"end":2280.621},{"text":"because","start":2280.974,"end":2281.263},{"text":"the","start":2281.359,"end":2281.391},{"text":"style","start":2281.391,"end":2281.728},{"text":"is","start":2281.857,"end":2282.066},{"text":"not","start":2282.114,"end":2282.371},{"text":"currently","start":2282.371,"end":2283.109},{"text":"protected","start":2283.125,"end":2283.591},{"text":"by","start":2283.623,"end":2283.816},{"text":"any—","start":2283.928,"end":2284.073},{"text":"by","start":2285.052,"end":2285.116},{"text":"law.","start":2285.213,"end":2285.309}]},{"text":"But still, style is preferred to be selected in the output of GenAI models.","start":2286.272,"end":2291.459,"topics":[],"words":[{"text":"But","start":2286.272,"end":2286.369},{"text":"still,","start":2286.369,"end":2286.706},{"text":"style","start":2286.915,"end":2287.477},{"text":"is","start":2287.477,"end":2287.605},{"text":"preferred","start":2287.637,"end":2288.103},{"text":"to","start":2288.103,"end":2288.344},{"text":"be","start":2288.52,"end":2288.601},{"text":"selected","start":2288.601,"end":2289.243},{"text":"in","start":2289.323,"end":2289.468},{"text":"the","start":2289.468,"end":2289.548},{"text":"output","start":2289.548,"end":2289.885},{"text":"of","start":2289.885,"end":2290.014},{"text":"GenAI","start":2290.688,"end":2291.17},{"text":"models.","start":2291.17,"end":2291.459}]},{"text":"So, style imitation is another problem.","start":2292.053,"end":2294.269,"topics":[],"words":[{"text":"So,","start":2292.053,"end":2292.149},{"text":"style","start":2292.165,"end":2292.535},{"text":"imitation","start":2292.535,"end":2293.161},{"text":"is","start":2293.161,"end":2293.225},{"text":"another","start":2293.402,"end":2293.948},{"text":"problem.","start":2293.964,"end":2294.269}]},{"text":"And the third one is memorization, especially verbatim memorization, the direct copy of a training dataset.","start":2295.007,"end":2302.345,"topics":[],"words":[{"text":"And","start":2295.007,"end":2295.088},{"text":"the","start":2295.104,"end":2295.184},{"text":"third","start":2295.184,"end":2295.377},{"text":"one","start":2295.489,"end":2295.633},{"text":"is","start":2295.81,"end":2295.955},{"text":"memorization,","start":2296.468,"end":2297.319},{"text":"especially","start":2297.432,"end":2297.962},{"text":"verbatim","start":2298.411,"end":2298.989},{"text":"memorization,","start":2299.214,"end":2300.049},{"text":"the","start":2300.226,"end":2300.322},{"text":"direct","start":2300.322,"end":2300.707},{"text":"copy","start":2300.707,"end":2300.932},{"text":"of","start":2301.189,"end":2301.253},{"text":"a","start":2301.366,"end":2301.526},{"text":"training","start":2301.526,"end":2301.815},{"text":"dataset.","start":2301.847,"end":2302.345}]},{"text":"So the first one, actually, if— it's actually easy for people to generate contents based on some famous characters and embed some political messages or some inappropriate messages for children.","start":2303.198,"end":2324.409,"topics":[{"key":"online-extremist-content","label":"Online Extremist Content and Radicalization","description":"Many statements addressed the use of generative AI in extremist propaganda, recruitment, misinformation, deepfakes, and hate content online. Discussion also covered responses such as content moderation, youth digital resilience, and monitoring of gaming and other online spaces vulnerable to extremist 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to protect this, Japan-based lab developed some technologies to actually not only detect but also, uh, a way to, uh, find a way to remunerate, uh, to 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this one on the left-hand side was presented at ICLR, one of the biggest AI conferences held, uh, in Brazil, uh, this 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the technology could easily, uh, identify the characters used in the output and properly calculate the contribution to the 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this is the first one.","start":2364.399,"end":2365.877,"topics":[],"words":[{"text":"So","start":2364.399,"end":2364.8},{"text":"this","start":2364.961,"end":2365.186},{"text":"is","start":2365.186,"end":2365.25},{"text":"the","start":2365.283,"end":2365.427},{"text":"first","start":2365.427,"end":2365.748},{"text":"one.","start":2365.748,"end":2365.877}]},{"text":"And the second one is style imitation.","start":2366.713,"end":2369.396,"topics":[],"words":[{"text":"And","start":2366.713,"end":2366.857},{"text":"the","start":2366.889,"end":2366.97},{"text":"second","start":2366.97,"end":2367.339},{"text":"one","start":2367.371,"end":2367.58},{"text":"is","start":2367.934,"end":2368.143},{"text":"style","start":2368.175,"end":2368.753},{"text":"imitation.","start":2368.817,"end":2369.396}]},{"text":"So here, you know, since these rights are not protected by law, so the only way the Japan lab came up is to actually steer the output away from the undesired output.","start":2369.541,"end":2388.467,"topics":[{"key":"bias-transparency","label":"Bias, Transparency, and Public Trust","description":"Several remarks emphasized that AI systems can fail because of poor context, weak data, algorithmic bias, and limited explainability. 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it's called negative prompting.","start":2388.565,"end":2392.555,"topics":[],"words":[{"text":"So","start":2388.565,"end":2388.954},{"text":"it's","start":2388.954,"end":2390.3},{"text":"called","start":2390.3,"end":2391.186},{"text":"negative","start":2391.701,"end":2392.072},{"text":"prompting.","start":2392.169,"end":2392.555}]},{"text":"So we could actually make the model steer away from certain contents by giving specific targets to the model.","start":2393.087,"end":2402.654,"topics":[],"words":[{"text":"So","start":2393.087,"end":2393.554},{"text":"we","start":2393.635,"end":2393.796},{"text":"could","start":2393.796,"end":2394.086},{"text":"actually","start":2394.199,"end":2394.569},{"text":"make","start":2396.148,"end":2396.374},{"text":"the","start":2396.374,"end":2396.47},{"text":"model","start":2396.47,"end":2396.986},{"text":"steer","start":2397.598,"end":2397.937},{"text":"away","start":2397.985,"end":2398.146},{"text":"from","start":2398.227,"end":2398.501},{"text":"certain","start":2398.613,"end":2398.92},{"text":"contents","start":2398.952,"end":2399.421},{"text":"by","start":2399.421,"end":2399.598},{"text":"giving","start":2399.598,"end":2399.889},{"text":"specific","start":2400.326,"end":2401.102},{"text":"targets","start":2401.296,"end":2401.862},{"text":"to","start":2402.088,"end":2402.266},{"text":"the","start":2402.266,"end":2402.33},{"text":"model.","start":2402.33,"end":2402.654}]},{"text":"So in this case, a Ghibli effect is a target.","start":2403.009,"end":2405.596,"topics":[],"words":[{"text":"So","start":2403.009,"end":2403.236},{"text":"in","start":2403.236,"end":2403.284},{"text":"this","start":2403.381,"end":2403.559},{"text":"case,","start":2403.559,"end":2403.947},{"text":"a","start":2404.044,"end":2404.06},{"text":"Ghibli","start":2404.125,"end":2404.497},{"text":"effect","start":2404.61,"end":2404.998},{"text":"is","start":2404.998,"end":2405.062},{"text":"a","start":2405.159,"end":2405.24},{"text":"target.","start":2405.24,"end":2405.596}]},{"text":"So if you show the Ghibli image to the model, And at the inference time, we could avoid generating Ghibli style.","start":2405.66,"end":2413.618,"topics":[],"words":[{"text":"So","start":2405.66,"end":2405.887},{"text":"if","start":2405.903,"end":2406.032},{"text":"you","start":2406.307,"end":2406.469},{"text":"show","start":2406.469,"end":2406.889},{"text":"the","start":2406.954,"end":2407.115},{"text":"Ghibli","start":2407.115,"end":2407.406},{"text":"image","start":2407.907,"end":2408.101},{"text":"to","start":2408.231,"end":2408.409},{"text":"the","start":2408.409,"end":2408.473},{"text":"model,","start":2408.473,"end":2408.667},{"text":"And","start":2409.18,"end":2409.342},{"text":"at","start":2409.358,"end":2409.456},{"text":"the","start":2409.505,"end":2409.619},{"text":"inference","start":2409.619,"end":2410.074},{"text":"time,","start":2410.074,"end":2410.383},{"text":"we","start":2410.822,"end":2410.968},{"text":"could","start":2410.968,"end":2411.114},{"text":"avoid","start":2411.537,"end":2412.008},{"text":"generating","start":2412.106,"end":2412.659},{"text":"Ghibli","start":2413.081,"end":2413.341},{"text":"style.","start":2413.341,"end":2413.618}]},{"text":"And the third one is memorization.","start":2416.436,"end":2417.771,"topics":[],"words":[{"text":"And","start":2416.436,"end":2416.538},{"text":"the","start":2416.538,"end":2416.588},{"text":"third","start":2416.588,"end":2416.757},{"text":"one","start":2416.859,"end":2416.994},{"text":"is","start":2417.196,"end":2417.264},{"text":"memorization.","start":2417.365,"end":2417.771}]},{"text":"So memorization is actually a big problem of GenAI models.","start":2419.04,"end":2422.283,"topics":[{"key":"bias-transparency","label":"Bias, Transparency, and Public Trust","description":"Several remarks emphasized that AI systems can fail because of poor context, weak data, algorithmic bias, and limited explainability. Building public trust therefore requires careful testing, transparency, fairness, and attention to linguistic and social diversity in how these systems are designed and deployed."}],"words":[{"text":"So","start":2419.04,"end":2419.153},{"text":"memorization","start":2419.153,"end":2419.786},{"text":"is","start":2419.786,"end":2419.85},{"text":"actually","start":2419.948,"end":2420.386},{"text":"a","start":2420.386,"end":2420.451},{"text":"big","start":2420.451,"end":2420.629},{"text":"problem","start":2420.694,"end":2421.067},{"text":"of","start":2421.116,"end":2421.229},{"text":"GenAI","start":2421.326,"end":2421.846},{"text":"models.","start":2421.846,"end":2422.283}]},{"text":"Currently, there's no theoretical way to— theory-based way to avoid this problem.","start":2423.111,"end":2431.485,"topics":[{"key":"bias-transparency","label":"Bias, Transparency, and Public Trust","description":"Several remarks emphasized that AI systems can fail because of poor context, weak data, algorithmic bias, and limited explainability. 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Building public trust therefore requires careful testing, transparency, fairness, and attention to linguistic and social diversity in how these systems are designed and deployed."}],"words":[{"text":"So","start":2431.55,"end":2431.728},{"text":"let's","start":2431.728,"end":2432.488},{"text":"say","start":2432.537,"end":2432.763},{"text":"whatever","start":2434.139,"end":2434.463},{"text":"we","start":2434.463,"end":2434.544},{"text":"see","start":2434.544,"end":2434.819},{"text":"on","start":2434.867,"end":2434.981},{"text":"the","start":2435.029,"end":2435.288},{"text":"on","start":2435.26,"end":2435.308},{"text":"the","start":2435.308,"end":2435.405},{"text":"website,","start":2435.453,"end":2436.066},{"text":"GenAI,","start":2436.421,"end":2436.97},{"text":"all","start":2437.067,"end":2437.164},{"text":"the","start":2437.164,"end":2437.293},{"text":"GenAI","start":2437.293,"end":2437.793},{"text":"models","start":2437.793,"end":2438.164},{"text":"have","start":2438.196,"end":2438.406},{"text":"to","start":2439.229,"end":2439.342},{"text":"some","start":2439.342,"end":2439.519},{"text":"extent","start":2439.568,"end":2439.971},{"text":"this","start":2439.971,"end":2440.132},{"text":"problem.","start":2440.132,"end":2440.455}]},{"text":"So, to avoid this, there's a way to actually avoid it in the training stage, but also at the inference stage, we could avoid this problem by properly generate contents by inserting 2 or 3 sentences.","start":2441.084,"end":2456.774,"topics":[{"key":"bias-transparency","label":"Bias, Transparency, and Public Trust","description":"Several remarks emphasized that AI systems can fail because of poor context, weak data, algorithmic bias, and limited explainability. 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this was presented at the Computer Vision Conference called CVPR.","start":2457.37,"end":2462.449,"topics":[],"words":[{"text":"And","start":2457.37,"end":2457.434},{"text":"this","start":2457.467,"end":2457.676},{"text":"was","start":2457.676,"end":2457.821},{"text":"presented","start":2457.853,"end":2458.336},{"text":"at","start":2458.336,"end":2458.497},{"text":"the","start":2458.497,"end":2459.141},{"text":"Computer","start":2459.785,"end":2460.172},{"text":"Vision","start":2460.172,"end":2460.429},{"text":"Conference","start":2460.429,"end":2460.848},{"text":"called","start":2460.972,"end":2461.261},{"text":"CVPR.","start":2461.71,"end":2462.449}]},{"text":"So next, please.","start":2463.541,"end":2464.231,"topics":[],"words":[{"text":"So","start":2463.541,"end":2463.717},{"text":"next,","start":2463.717,"end":2464.006},{"text":"please.","start":2464.022,"end":2464.231}]},{"text":"And I would like to also talk about the implication to music market and industry.","start":2465.451,"end":2471.456,"topics":[],"words":[{"text":"And","start":2465.451,"end":2465.532},{"text":"I","start":2465.532,"end":2465.708},{"text":"would","start":2466.094,"end":2466.27},{"text":"like","start":2466.27,"end":2466.447},{"text":"to","start":2466.495,"end":2466.688},{"text":"also","start":2467.233,"end":2467.474},{"text":"talk","start":2467.474,"end":2467.715},{"text":"about","start":2467.715,"end":2468.213},{"text":"the","start":2468.277,"end":2468.341},{"text":"implication","start":2468.357,"end":2468.951},{"text":"to","start":2469,"end":2469.176},{"text":"music","start":2469.401,"end":2469.883},{"text":"market","start":2470.445,"end":2470.846},{"text":"and","start":2470.846,"end":2471.055},{"text":"industry.","start":2471.071,"end":2471.456}]},{"text":"So the chart on the left-hand side shows the ratio between human-made music and AI-generated music in a platform called, you know, Deezer, the company called Deezer, a French-based digital service provider company.","start":2472.034,"end":2492.222,"topics":[],"words":[{"text":"So","start":2472.034,"end":2472.452},{"text":"the","start":2472.917,"end":2473.014},{"text":"chart","start":2473.014,"end":2473.399},{"text":"on","start":2473.399,"end":2473.447},{"text":"the","start":2473.56,"end":2473.656},{"text":"left-hand","start":2473.897,"end":2474.218},{"text":"side","start":2474.218,"end":2474.491},{"text":"shows","start":2474.539,"end":2474.989},{"text":"the","start":2475.165,"end":2475.823},{"text":"ratio","start":2476.048,"end":2476.45},{"text":"between","start":2476.787,"end":2477.236},{"text":"human-made","start":2477.269,"end":2477.959},{"text":"music","start":2478.232,"end":2478.858},{"text":"and","start":2478.858,"end":2479.035},{"text":"AI-generated","start":2479.099,"end":2479.805},{"text":"music","start":2479.902,"end":2480.383},{"text":"in","start":2481.026,"end":2481.507},{"text":"a","start":2481.507,"end":2481.684},{"text":"platform","start":2481.684,"end":2482.214},{"text":"called,","start":2483.129,"end":2483.45},{"text":"you","start":2483.916,"end":2483.996},{"text":"know,","start":2484.092,"end":2484.638},{"text":"Deezer,","start":2485.537,"end":2485.939},{"text":"the","start":2486.099,"end":2486.18},{"text":"company","start":2486.244,"end":2486.581},{"text":"called","start":2486.71,"end":2486.968},{"text":"Deezer,","start":2486.968,"end":2487.372},{"text":"a","start":2487.777,"end":2487.793},{"text":"French-based","start":2487.793,"end":2488.763},{"text":"digital","start":2490.379,"end":2490.848},{"text":"service","start":2490.881,"end":2491.349},{"text":"provider","start":2491.349,"end":2491.834},{"text":"company.","start":2491.834,"end":2492.222}]},{"text":"And the ratio as of 2025 January was like this.","start":2493.031,"end":2496.816,"topics":[],"words":[{"text":"And","start":2493.031,"end":2493.192},{"text":"the","start":2493.192,"end":2493.273},{"text":"ratio","start":2493.273,"end":2493.774},{"text":"as","start":2494.082,"end":2494.146},{"text":"of","start":2494.243,"end":2494.389},{"text":"2025","start":2494.566,"end":2495.86},{"text":"January","start":2495.86,"end":2496.248},{"text":"was","start":2496.345,"end":2496.442},{"text":"like","start":2496.442,"end":2496.686},{"text":"this.","start":2496.686,"end":2496.816}]},{"text":"So only 15% of the whole market was AI-generated.","start":2496.994,"end":2502.274,"topics":[],"words":[{"text":"So","start":2496.994,"end":2497.254},{"text":"only","start":2497.336,"end":2497.628},{"text":"15%","start":2497.904,"end":2499.383},{"text":"of","start":2499.513,"end":2499.675},{"text":"the","start":2499.675,"end":2499.773},{"text":"whole","start":2499.773,"end":2499.967},{"text":"market","start":2500.179,"end":2500.715},{"text":"was","start":2501.397,"end":2501.527},{"text":"AI-generated.","start":2501.787,"end":2502.274}]},{"text":"But now, as of— not now, but, you know, back in January 2026, it increased up to 40%.","start":2502.949,"end":2512.247,"topics":[],"words":[{"text":"But","start":2502.949,"end":2503.11},{"text":"now,","start":2503.142,"end":2503.561},{"text":"as","start":2503.706,"end":2503.835},{"text":"of—","start":2503.932,"end":2504.077},{"text":"not","start":2505.156,"end":2505.382},{"text":"now,","start":2505.382,"end":2505.511},{"text":"but,","start":2505.64,"end":2505.946},{"text":"you","start":2506.123,"end":2506.22},{"text":"know,","start":2506.22,"end":2506.349},{"text":"back","start":2506.51,"end":2506.687},{"text":"in","start":2506.687,"end":2506.816},{"text":"January","start":2507.171,"end":2507.654},{"text":"2026,","start":2507.735,"end":2508.944},{"text":"it","start":2509.266,"end":2509.524},{"text":"increased","start":2509.733,"end":2510.362},{"text":"up","start":2510.781,"end":2510.958},{"text":"to","start":2510.958,"end":2511.168},{"text":"40%.","start":2511.764,"end":2512.247}]},{"text":"So we could easily imagine that in 2030, uh, the figure like this, uh, will be the ratio.","start":2513.139,"end":2521.027,"topics":[],"words":[{"text":"So","start":2513.139,"end":2513.622},{"text":"we","start":2514.153,"end":2514.25},{"text":"could","start":2514.25,"end":2514.411},{"text":"easily","start":2514.491,"end":2514.781},{"text":"imagine","start":2514.813,"end":2515.264},{"text":"that","start":2515.296,"end":2515.618},{"text":"in","start":2515.682,"end":2515.747},{"text":"2030,","start":2515.924,"end":2516.793},{"text":"uh,","start":2517.147,"end":2517.163},{"text":"the","start":2518.016,"end":2518.274},{"text":"figure","start":2518.274,"end":2518.596},{"text":"like","start":2518.596,"end":2518.837},{"text":"this,","start":2518.837,"end":2519.031},{"text":"uh,","start":2519.32,"end":2519.337},{"text":"will","start":2519.948,"end":2520.093},{"text":"be","start":2520.109,"end":2520.206},{"text":"the","start":2520.206,"end":2520.544},{"text":"ratio.","start":2520.608,"end":2521.027}]},{"text":"So the market would be filled with, uh, AI-generated contents.","start":2521.627,"end":2526.326,"topics":[],"words":[{"text":"So","start":2521.627,"end":2521.967},{"text":"the","start":2522.356,"end":2522.615},{"text":"market","start":2522.696,"end":2523.182},{"text":"would","start":2523.182,"end":2523.393},{"text":"be","start":2523.571,"end":2523.75},{"text":"filled","start":2523.75,"end":2524.074},{"text":"with,","start":2524.074,"end":2524.398},{"text":"uh,","start":2524.625,"end":2524.754},{"text":"AI-generated","start":2525.111,"end":2525.759},{"text":"contents.","start":2525.921,"end":2526.326}]},{"text":"Uh, could you go next, please?","start":2527.055,"end":2528.335,"topics":[],"words":[{"text":"Uh,","start":2527.055,"end":2527.104},{"text":"could","start":2527.315,"end":2527.412},{"text":"you","start":2527.412,"end":2527.558},{"text":"go","start":2527.558,"end":2527.801},{"text":"next,","start":2527.801,"end":2528.109},{"text":"please?","start":2528.125,"end":2528.335}]},{"text":"So this actually is a very, uh, bad situation for creators because the, the, the current ecosystem can remunerate correctly to creators, but the gen AI output doesn't, you know, feedback anything to creators.","start":2529.867,"end":2549.44,"topics":[],"words":[{"text":"So","start":2529.867,"end":2530.366},{"text":"this","start":2531.815,"end":2532.025},{"text":"actually","start":2532.685,"end":2533.071},{"text":"is","start":2533.345,"end":2533.554},{"text":"a","start":2533.651,"end":2533.667},{"text":"very,","start":2533.989,"end":2534.198},{"text":"uh,","start":2534.537,"end":2534.617},{"text":"bad","start":2534.633,"end":2534.81},{"text":"situation","start":2534.81,"end":2535.567},{"text":"for","start":2535.583,"end":2535.761},{"text":"creators","start":2535.761,"end":2536.292},{"text":"because","start":2536.405,"end":2536.695},{"text":"the,","start":2536.807,"end":2537.065},{"text":"the,","start":2537.29,"end":2537.548},{"text":"the","start":2537.677,"end":2537.773},{"text":"current","start":2537.773,"end":2538.096},{"text":"ecosystem","start":2538.096,"end":2538.707},{"text":"can","start":2538.74,"end":2538.949},{"text":"remunerate","start":2539.03,"end":2539.71},{"text":"correctly","start":2539.812,"end":2540.22},{"text":"to","start":2540.254,"end":2540.39},{"text":"creators,","start":2540.53,"end":2540.931},{"text":"but","start":2541.043,"end":2541.348},{"text":"the","start":2542.312,"end":2543.596},{"text":"gen","start":2543.596,"end":2543.821},{"text":"AI","start":2543.933,"end":2544.11},{"text":"output","start":2544.335,"end":2544.704},{"text":"doesn't,","start":2544.977,"end":2545.523},{"text":"you","start":2545.683,"end":2545.715},{"text":"know,","start":2545.715,"end":2546.021},{"text":"feedback","start":2546.968,"end":2547.385},{"text":"anything","start":2547.466,"end":2547.755},{"text":"to","start":2547.867,"end":2548.124},{"text":"creators.","start":2548.975,"end":2549.44}]},{"text":"So this technology is called training data attribution that could actually connect the output and also training dataset and calculate the contribution, how much each training dataset training sample contributed to generate the 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here, the example shows like the red signal contributed 50% and blue 20%, yellow 30%.","start":2570.267,"end":2579.554,"topics":[],"words":[{"text":"So","start":2570.267,"end":2570.749},{"text":"here,","start":2570.749,"end":2571.086},{"text":"the","start":2571.392,"end":2571.568},{"text":"example","start":2571.617,"end":2572.05},{"text":"shows","start":2572.05,"end":2572.404},{"text":"like","start":2572.581,"end":2572.902},{"text":"the","start":2572.902,"end":2573.095},{"text":"red","start":2573.159,"end":2573.448},{"text":"signal","start":2573.464,"end":2574.059},{"text":"contributed","start":2574.284,"end":2575.135},{"text":"50%","start":2575.473,"end":2575.778},{"text":"and","start":2576.115,"end":2577.192},{"text":"blue","start":2577.401,"end":2577.529},{"text":"20%,","start":2577.963,"end":2578.22},{"text":"yellow","start":2578.927,"end":2579.2},{"text":"30%.","start":2579.2,"end":2579.554}]},{"text":"Yeah, this is the, you know, rough idea of attribute training data attribution.","start":2580.373,"end":2585.016,"topics":[],"words":[{"text":"Yeah,","start":2580.373,"end":2580.453},{"text":"this","start":2580.694,"end":2580.807},{"text":"is","start":2581.112,"end":2581.241},{"text":"the,","start":2581.337,"end":2581.594},{"text":"you","start":2581.739,"end":2581.771},{"text":"know,","start":2581.771,"end":2581.98},{"text":"rough","start":2582.381,"end":2582.639},{"text":"idea","start":2582.639,"end":2583.024},{"text":"of","start":2583.104,"end":2583.169},{"text":"attribute","start":2583.345,"end":2583.844},{"text":"training","start":2583.844,"end":2584.133},{"text":"data","start":2584.165,"end":2584.39},{"text":"attribution.","start":2584.406,"end":2585.016}]},{"text":"And next, please.","start":2586.237,"end":2587.266,"topics":[],"words":[{"text":"And","start":2586.237,"end":2586.382},{"text":"next,","start":2586.671,"end":2587.041},{"text":"please.","start":2587.057,"end":2587.266}]},{"text":"So I would like to briefly give you an idea how we could usually, you know, calculate this kind of type of 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the top figure shows the full model.","start":2599.276,"end":2602.566,"topics":[],"words":[{"text":"So,","start":2599.276,"end":2599.661},{"text":"the","start":2600.047,"end":2600.175},{"text":"top","start":2600.528,"end":2600.769},{"text":"figure","start":2600.849,"end":2601.122},{"text":"shows","start":2601.122,"end":2601.475},{"text":"the","start":2601.667,"end":2601.844},{"text":"full","start":2601.844,"end":2602.293},{"text":"model.","start":2602.293,"end":2602.566}]},{"text":"So, you have a model in the middle of the page and the text is fed to the model and you get AI 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the signals surrounded by magenta are the training dataset.","start":2611.761,"end":2619.737,"topics":[],"words":[{"text":"And","start":2611.761,"end":2612.147},{"text":"the","start":2612.805,"end":2612.933},{"text":"signals","start":2613.238,"end":2613.799},{"text":"surrounded","start":2614.666,"end":2615.196},{"text":"by","start":2615.228,"end":2615.501},{"text":"magenta","start":2616.431,"end":2617.073},{"text":"are","start":2617.795,"end":2618.421},{"text":"the","start":2618.758,"end":2618.838},{"text":"training","start":2618.838,"end":2619.208},{"text":"dataset.","start":2619.304,"end":2619.737}]},{"text":"So, how you calculate the contribution is very straightforward.","start":2621.138,"end":2624.991,"topics":[],"words":[{"text":"So,","start":2621.138,"end":2621.299},{"text":"how","start":2621.38,"end":2621.559},{"text":"you","start":2621.688,"end":2621.85},{"text":"calculate","start":2621.85,"end":2622.336},{"text":"the","start":2622.336,"end":2622.595},{"text":"contribution","start":2622.595,"end":2623.291},{"text":"is","start":2623.469,"end":2623.534},{"text":"very","start":2623.906,"end":2624.376},{"text":"straightforward.","start":2624.376,"end":2624.991}]},{"text":"So, if you look down, there's another model and this one was trained on the dataset, almost the same dataset, but the only exception is to remove Yellow Song from the 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we call it leave-one-out model.","start":2640.788,"end":2642.897,"topics":[],"words":[{"text":"So,","start":2640.788,"end":2641.207},{"text":"we","start":2641.287,"end":2641.432},{"text":"call","start":2641.432,"end":2641.609},{"text":"it","start":2641.674,"end":2641.835},{"text":"leave-one-out","start":2641.835,"end":2642.511},{"text":"model.","start":2642.511,"end":2642.897}]},{"text":"And if we remove this red— Yellow yellow signal and feed the same text prompt and see the 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is very small, it means that yellow signal was not important to generate that 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it means that red each signal was very important.","start":2670.529,"end":2673.078,"topics":[],"words":[{"text":"So,","start":2670.529,"end":2670.689},{"text":"it","start":2670.77,"end":2670.866},{"text":"means","start":2670.946,"end":2671.218},{"text":"that","start":2671.25,"end":2671.523},{"text":"red","start":2671.571,"end":2673.543},{"text":"each","start":2671.78,"end":2671.812},{"text":"signal","start":2671.844,"end":2672.052},{"text":"was","start":2672.052,"end":2672.18},{"text":"very","start":2672.292,"end":2672.517},{"text":"important.","start":2672.517,"end":2673.078}]},{"text":"But as you can easily imagine, this is almost computationally infeasible, so there's a, you know, 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please?","start":2680.949,"end":2683.161,"topics":[],"words":[{"text":"So","start":2680.949,"end":2681.174},{"text":"could","start":2681.174,"end":2681.286},{"text":"you","start":2681.286,"end":2681.398},{"text":"go","start":2681.414,"end":2681.59},{"text":"to","start":2681.59,"end":2681.735},{"text":"the","start":2681.735,"end":2681.767},{"text":"next","start":2681.767,"end":2682.119},{"text":"page,","start":2682.456,"end":2682.681},{"text":"please?","start":2682.953,"end":2683.161}]},{"text":"So the easy way to do this is to forget certain, you know, signal rather than, you know, removing certain song from the dataset and 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there are a lot of technical challenges and Japan-based lab is trying to solve this problem.","start":2710.852,"end":2719.497,"topics":[],"words":[{"text":"So","start":2710.852,"end":2710.901},{"text":"there","start":2710.901,"end":2711.142},{"text":"are","start":2711.142,"end":2711.175},{"text":"a","start":2711.175,"end":2711.223},{"text":"lot","start":2711.223,"end":2711.416},{"text":"of","start":2711.416,"end":2711.529},{"text":"technical","start":2711.561,"end":2711.964},{"text":"challenges","start":2711.964,"end":2712.335},{"text":"and","start":2712.367,"end":2712.577},{"text":"Japan-based","start":2715.869,"end":2716.549},{"text":"lab","start":2716.581,"end":2716.841},{"text":"is","start":2716.841,"end":2716.889},{"text":"trying","start":2717.569,"end":2718.266},{"text":"to","start":2718.363,"end":2718.557},{"text":"solve","start":2718.557,"end":2718.93},{"text":"this","start":2718.93,"end":2718.995},{"text":"problem.","start":2719.108,"end":2719.497}]},{"text":"So this is the end of my presentation and thanks for listening.","start":2720.177,"end":2724.124,"topics":[],"words":[{"text":"So","start":2720.177,"end":2720.549},{"text":"this","start":2720.549,"end":2720.728},{"text":"is","start":2720.728,"end":2720.857},{"text":"the","start":2721.213,"end":2721.359},{"text":"end","start":2721.375,"end":2721.521},{"text":"of","start":2721.521,"end":2721.602},{"text":"my","start":2721.618,"end":2721.813},{"text":"presentation","start":2722.347,"end":2723.108},{"text":"and","start":2723.157,"end":2723.222},{"text":"thanks","start":2723.319,"end":2725.392},{"text":"for","start":2723.56,"end":2723.769},{"text":"listening.","start":2723.898,"end":2724.124}]}]}],"speaker":{"name":"Yuki Mitsufuji","affiliation":"NYU","affiliation_full":"NYU","group":null,"function":"Visiting Research Professor"}},{"statement_number":17,"paragraphs":[{"sentences":[{"text":"Thank you 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report of the Special Rapporteur on Counterterrorism and Human Rights on AI and 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let us start with opportunities.","start":2813.99,"end":2815.562,"topics":[],"words":[{"text":"So","start":2813.99,"end":2814.071},{"text":"let","start":2814.071,"end":2814.295},{"text":"us","start":2814.295,"end":2814.375},{"text":"start","start":2814.375,"end":2814.6},{"text":"with","start":2814.632,"end":2814.776},{"text":"opportunities.","start":2814.856,"end":2815.562}]},{"text":"First and foremost, artificial intelligence fundamentally augments security agencies' capacities to collect, process, and analyze vast quantities of data and identify patterns, anomalies, and threats more rapidly, efficiently, and 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artificial intelligence is increasingly used alongside biometrics such as facial recognition by public authorities and law enforcement agencies to verify people's identities in public spaces, regulate access to major events, identify individuals upon arrest, or while monitoring activities in public 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also on top of that, AI is increasingly used for cybersecurity, for protection of our critical infrastructures against terrorist cyberattacks and urban 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can have damaging effects to civic spaces, political participation and democracy, which themselves build resilience against terrorist 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please.","start":2952.666,"end":2953.036,"topics":[],"words":[{"text":"Next,","start":2952.666,"end":2952.843},{"text":"please.","start":2952.891,"end":2953.036}]},{"text":"UNOCT has established Cybersecurity and New Technologies Program to help member states to to navigate these opportunities and 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the program is a direct response to the 7th review of the United Nations Global Counter-Terrorist Strategy, where member states requested United Nations Office of Counter-Terrorism to support innovative measures and approaches to build capacities of member states to respond for the challenges and opportunities that new technologies provide in countering terrorism, including artificial 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last, we also support member states in improving their capacity to protect their critical infrastructures against terrorist 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as you can see from the slide, artificial intelligence is an integral part of all these 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all the journey, this started in 2021, where we, together with UNICRI and with the support of the Government of Japan and the Kingdom of Saudi Arabia, started to look what AI means for counter-terrorism, how terrorists can abuse artificial intelligence for their purposes, but also how member states can use artificial intelligence to 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use of artificial intelligence is not sufficiently legislated or requires a lot of resources and 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to finish, I would like to thank all our program partners, the European Union for this forward-looking City Tech and City Tech+ initiative, Japan, and the United Arab Emirates and India, as well as Republic of Korea, Organization of American States, Kingdom of Saudi Arabia, for enabling us and the UN system deliver the much-needed support to member 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we are looking forward to continue that cooperation.","start":3496.297,"end":3498.458,"topics":[],"words":[{"text":"And","start":3496.297,"end":3496.362},{"text":"we","start":3496.378,"end":3496.525},{"text":"are","start":3496.541,"end":3496.622},{"text":"looking","start":3496.622,"end":3496.882},{"text":"forward","start":3496.947,"end":3497.272},{"text":"to","start":3497.272,"end":3497.353},{"text":"continue","start":3497.353,"end":3497.841},{"text":"that","start":3497.841,"end":3498.15},{"text":"cooperation.","start":3498.166,"end":3498.458}]},{"text":"And with this, I will pass the floor to my colleague, Oren McCarthy.","start":3500.59,"end":3504.879,"topics":[],"words":[{"text":"And","start":3500.59,"end":3500.831},{"text":"with","start":3501.088,"end":3501.184},{"text":"this,","start":3501.184,"end":3501.361},{"text":"I","start":3501.891,"end":3501.971},{"text":"will","start":3501.971,"end":3502.196},{"text":"pass","start":3502.228,"end":3502.534},{"text":"the","start":3502.534,"end":3502.614},{"text":"floor","start":3502.614,"end":3502.951},{"text":"to","start":3502.951,"end":3503.08},{"text":"my","start":3503.208,"end":3503.498},{"text":"colleague,","start":3503.498,"end":3503.851},{"text":"Oren","start":3504.06,"end":3504.253},{"text":"McCarthy.","start":3504.253,"end":3504.879}]},{"text":"He's liaison officer and program officer at UNICREE, and he will provide an overview of the support that UNICREE is providing to member states when it comes to 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Oginotiene","affiliation":"UNOCT","affiliation_full":"UNOCT","group":null,"function":"Co-Moderator"}},{"statement_number":19,"paragraphs":[{"sentences":[{"text":"Thank you, Akfile.","start":3518.912,"end":3519.723,"topics":[],"words":[{"text":"Thank","start":3518.912,"end":3519.074},{"text":"you,","start":3519.074,"end":3519.237},{"text":"Akfile.","start":3519.399,"end":3519.723}]},{"text":"And it's just from UNICREE side.","start":3520.794,"end":3522.302,"topics":[],"words":[{"text":"And","start":3520.794,"end":3520.972},{"text":"it's","start":3520.972,"end":3521.134},{"text":"just","start":3521.345,"end":3521.653},{"text":"from","start":3521.669,"end":3521.783},{"text":"UNICREE","start":3521.832,"end":3522.091},{"text":"side.","start":3522.091,"end":3522.302}]},{"text":"I mean, uh, from that timeline you presented, it's a pleasure to have been part of that journey along the way, um, from the start going back to that contribution from Japan to the initial, um, studies into AI and counterterrorism, and in various steps along the way.","start":3522.351,"end":3536.103,"topics":[{"key":"multistakeholder-cooperation","label":"International and Multi-Stakeholder Cooperation","description":"A recurring theme was that no single country or institution can address AI-related terrorist threats alone. 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this is for us the foundation of responsible AI.","start":3704.051,"end":3705.978,"topics":[],"words":[{"text":"And","start":3704.051,"end":3704.116},{"text":"this","start":3704.132,"end":3704.292},{"text":"is","start":3704.292,"end":3704.356},{"text":"for","start":3704.372,"end":3704.517},{"text":"us","start":3704.517,"end":3704.565},{"text":"the","start":3704.613,"end":3704.758},{"text":"foundation","start":3704.758,"end":3705.224},{"text":"of","start":3705.256,"end":3705.32},{"text":"responsible","start":3705.32,"end":3705.818},{"text":"AI.","start":3705.818,"end":3705.978}]},{"text":"Next slide, please.","start":3706.251,"end":3706.91,"topics":[],"words":[{"text":"Next","start":3706.251,"end":3706.589},{"text":"slide,","start":3706.589,"end":3706.717},{"text":"please.","start":3706.765,"end":3706.91}]},{"text":"So what is the toolkit itself?","start":3708.227,"end":3709.351,"topics":[],"words":[{"text":"So","start":3708.227,"end":3708.371},{"text":"what","start":3708.371,"end":3708.452},{"text":"is","start":3708.452,"end":3708.532},{"text":"the","start":3708.532,"end":3708.58},{"text":"toolkit","start":3708.628,"end":3708.966},{"text":"itself?","start":3708.966,"end":3709.351}]},{"text":"As I said, it's a practical guide.","start":3710.058,"end":3711.454,"topics":[],"words":[{"text":"As","start":3710.058,"end":3710.122},{"text":"I","start":3710.154,"end":3710.17},{"text":"said,","start":3710.218,"end":3710.363},{"text":"it's","start":3710.379,"end":3710.475},{"text":"a","start":3710.475,"end":3710.491},{"text":"practical","start":3710.555,"end":3711.053},{"text":"guide.","start":3711.117,"end":3711.454}]},{"text":"It's a series of 7 documents, theoretical documents and practical documents.","start":3711.535,"end":3716.175,"topics":[],"words":[{"text":"It's","start":3711.535,"end":3711.695},{"text":"a","start":3711.695,"end":3711.711},{"text":"series","start":3711.76,"end":3712.161},{"text":"of","start":3712.161,"end":3712.225},{"text":"7","start":3712.225,"end":3712.562},{"text":"documents,","start":3712.562,"end":3713.076},{"text":"theoretical","start":3714.313,"end":3714.73},{"text":"documents","start":3714.73,"end":3715.212},{"text":"and","start":3715.212,"end":3715.276},{"text":"practical","start":3715.276,"end":3715.677},{"text":"documents.","start":3715.677,"end":3716.175}]},{"text":"And the theoretical documents cover things like an introduction to responsible AI.","start":3716.721,"end":3720.254,"topics":[],"words":[{"text":"And","start":3716.721,"end":3716.834},{"text":"the","start":3716.834,"end":3716.962},{"text":"theoretical","start":3716.962,"end":3717.444},{"text":"documents","start":3717.444,"end":3718.006},{"text":"cover","start":3718.006,"end":3718.263},{"text":"things","start":3718.263,"end":3718.632},{"text":"like","start":3718.664,"end":3718.905},{"text":"an","start":3718.905,"end":3718.969},{"text":"introduction","start":3718.969,"end":3719.435},{"text":"to","start":3719.467,"end":3719.547},{"text":"responsible","start":3719.547,"end":3720.013},{"text":"AI.","start":3720.013,"end":3720.254}]},{"text":"What is that slide I just presented?","start":3720.334,"end":3722.518,"topics":[],"words":[{"text":"What","start":3720.334,"end":3720.559},{"text":"is","start":3720.735,"end":3720.8},{"text":"that","start":3721.233,"end":3721.57},{"text":"slide","start":3721.57,"end":3721.875},{"text":"I","start":3721.875,"end":3721.891},{"text":"just","start":3721.94,"end":3722.1},{"text":"presented?","start":3722.1,"end":3722.518}]},{"text":"What does it all mean in a law enforcement 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got those principles that I mentioned, and what are the principles of responsible AI innovation and law enforcement?","start":3731.766,"end":3736.744,"topics":[{"key":"trustworthy-ai-governance","label":"Trustworthy AI Governance","description":"Several interventions focused on the need for governance frameworks that allow AI to be used while managing risk. 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I would like to invite Mr. Adam Muhammad Alkali from National Counterterrorist Center at the Office of National Security Adviser in 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should note that NCTC of Nigeria was an excellent partner of CTech+ initiative and did a lot of efforts in adopting new technologies for counter-terrorism, including AI, 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to you, sir.","start":4149.927,"end":4150.652,"topics":[],"words":[{"text":"Over","start":4149.927,"end":4150.158},{"text":"to","start":4150.158,"end":4150.24},{"text":"you,","start":4150.24,"end":4150.339},{"text":"sir.","start":4150.355,"end":4150.652}]}]}],"speaker":{"name":"Akvila Oginotiene","affiliation":"UNOCT","affiliation_full":"UNOCT","group":null,"function":"Co-Moderator"}},{"statement_number":21,"paragraphs":[{"sentences":[{"text":"Thank you, Excellencies, distinguished delegates.","start":4152.3,"end":4156.093,"topics":[],"words":[{"text":"Thank","start":4152.3,"end":4152.412},{"text":"you,","start":4152.412,"end":4152.605},{"text":"Excellencies,","start":4153.923,"end":4154.63},{"text":"distinguished","start":4154.984,"end":4155.562},{"text":"delegates.","start":4155.562,"end":4156.093}]},{"text":"It is a distinct honor to participate in this important side 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Vassava.","start":4482.441,"end":4490.555,"topics":[],"words":[{"text":"Next,","start":4482.441,"end":4482.927},{"text":"we","start":4483.251,"end":4483.316},{"text":"have","start":4483.316,"end":4483.557},{"text":"a","start":4483.718,"end":4483.83},{"text":"representative","start":4486.211,"end":4486.935},{"text":"of","start":4486.951,"end":4487.08},{"text":"India","start":4487.177,"end":4487.675},{"text":"who","start":4487.675,"end":4487.772},{"text":"is","start":4487.772,"end":4487.885},{"text":"joining","start":4487.917,"end":4488.206},{"text":"us","start":4488.464,"end":4488.625},{"text":"online,","start":4488.705,"end":4489.091},{"text":"Mr.","start":4489.365,"end":4489.622},{"text":"Amit","start":4489.686,"end":4490.008},{"text":"Vassava.","start":4490.008,"end":4490.555}]},{"text":"He's a police superintendent from the Central Bureau of Investigations of India, and I would invite him to deliver his remarks.","start":4490.74,"end":4498.821,"topics":[],"words":[{"text":"He's","start":4490.74,"end":4490.997},{"text":"a","start":4490.997,"end":4491.029},{"text":"police","start":4491.078,"end":4491.416},{"text":"superintendent","start":4491.416,"end":4492.526},{"text":"from","start":4492.526,"end":4492.703},{"text":"the","start":4492.703,"end":4492.784},{"text":"Central","start":4492.784,"end":4493.154},{"text":"Bureau","start":4493.186,"end":4493.492},{"text":"of","start":4493.492,"end":4493.557},{"text":"Investigations","start":4493.605,"end":4494.362},{"text":"of","start":4494.394,"end":4494.539},{"text":"India,","start":4494.539,"end":4494.957},{"text":"and","start":4495.585,"end":4495.649},{"text":"I","start":4495.746,"end":4495.81},{"text":"would","start":4495.826,"end":4495.971},{"text":"invite","start":4496.02,"end":4496.406},{"text":"him","start":4496.406,"end":4496.535},{"text":"to","start":4497.533,"end":4497.678},{"text":"deliver","start":4497.678,"end":4498.064},{"text":"his","start":4498.08,"end":4498.145},{"text":"remarks.","start":4498.241,"end":4498.821}]}]}],"speaker":{"name":"Akvila 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country.","start":4513.833,"end":4517.227,"topics":[],"words":[{"text":"CBI","start":4513.833,"end":4514.251},{"text":"is","start":4514.315,"end":4514.444},{"text":"the","start":4514.54,"end":4514.717},{"text":"premier","start":4514.717,"end":4515.313},{"text":"investigating","start":4515.666,"end":4516.374},{"text":"agency","start":4516.39,"end":4516.776},{"text":"of","start":4516.809,"end":4516.857},{"text":"the","start":4516.97,"end":4517.05},{"text":"country.","start":4517.05,"end":4517.227}]},{"text":"As discussed before, India is one of the participating countries for AI-POL initiative.","start":4518.241,"end":4522.656,"topics":[{"key":"multistakeholder-cooperation","label":"International and Multi-Stakeholder Cooperation","description":"A recurring theme was that no single country or institution can address AI-related terrorist threats alone. 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traditional excuse of not having change doesn't work in India anymore.","start":4690.85,"end":4694.184,"topics":[],"words":[{"text":"The","start":4690.85,"end":4690.898},{"text":"traditional","start":4690.898,"end":4691.317},{"text":"excuse","start":4691.349,"end":4691.832},{"text":"of","start":4691.832,"end":4691.896},{"text":"not","start":4692.009,"end":4692.315},{"text":"having","start":4692.315,"end":4692.541},{"text":"change","start":4692.637,"end":4692.895},{"text":"doesn't","start":4692.976,"end":4693.298},{"text":"work","start":4693.298,"end":4693.539},{"text":"in","start":4693.539,"end":4693.684},{"text":"India","start":4693.684,"end":4693.862},{"text":"anymore.","start":4693.862,"end":4694.184}]},{"text":"With more than 700 million free-of-cost transactions each day, India's UPI has set a spectacular global gold 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12 years, on confluence of two holy rivers, a religious fair called Kumbh Mela is organized.","start":4747.713,"end":4755.083,"topics":[],"words":[{"text":"Every","start":4747.713,"end":4748.018},{"text":"12","start":4748.051,"end":4748.34},{"text":"years,","start":4748.452,"end":4748.821},{"text":"on","start":4748.934,"end":4749.094},{"text":"confluence","start":4749.094,"end":4749.849},{"text":"of","start":4749.881,"end":4749.913},{"text":"two","start":4749.913,"end":4750.234},{"text":"holy","start":4750.523,"end":4750.909},{"text":"rivers,","start":4750.941,"end":4751.31},{"text":"a","start":4752.209,"end":4752.305},{"text":"religious","start":4752.305,"end":4752.98},{"text":"fair","start":4753.028,"end":4753.429},{"text":"called","start":4753.429,"end":4753.799},{"text":"Kumbh","start":4753.831,"end":4754.007},{"text":"Mela","start":4754.007,"end":4754.409},{"text":"is","start":4754.409,"end":4754.553},{"text":"organized.","start":4754.553,"end":4755.083}]},{"text":"People from across the world participate in this month-long celebration.","start":4755.758,"end":4759.772,"topics":[],"words":[{"text":"People","start":4755.758,"end":4756.095},{"text":"from","start":4756.095,"end":4756.416},{"text":"across","start":4756.416,"end":4756.801},{"text":"the","start":4756.881,"end":4757.026},{"text":"world","start":4757.026,"end":4757.251},{"text":"participate","start":4757.283,"end":4758.07},{"text":"in","start":4758.07,"end":4758.166},{"text":"this","start":4758.166,"end":4758.439},{"text":"month-long","start":4758.471,"end":4759.097},{"text":"celebration.","start":4759.21,"end":4759.772}]},{"text":"If this fair were a country, What would be its rank then?","start":4760.815,"end":4764.399,"topics":[],"words":[{"text":"If","start":4760.815,"end":4761.024},{"text":"this","start":4761.056,"end":4761.168},{"text":"fair","start":4761.377,"end":4761.762},{"text":"were","start":4761.762,"end":4761.859},{"text":"a","start":4761.939,"end":4762.019},{"text":"country,","start":4762.019,"end":4762.469},{"text":"What","start":4762.911,"end":4763.142},{"text":"would","start":4763.142,"end":4763.291},{"text":"be","start":4763.407,"end":4763.655},{"text":"its","start":4763.721,"end":4763.836},{"text":"rank","start":4763.969,"end":4764.233},{"text":"then?","start":4764.233,"end":4764.399}]},{"text":"With 660 million visitors taking dip in the river, it would be behind only India and China.","start":4766.13,"end":4773.056,"topics":[],"words":[{"text":"With","start":4766.13,"end":4766.324},{"text":"660","start":4766.324,"end":4767.2},{"text":"million","start":4767.233,"end":4767.784},{"text":"visitors","start":4767.784,"end":4768.238},{"text":"taking","start":4768.417,"end":4768.725},{"text":"dip","start":4768.92,"end":4769.114},{"text":"in","start":4769.309,"end":4769.374},{"text":"the","start":4769.406,"end":4769.487},{"text":"river,","start":4769.504,"end":4769.974},{"text":"it","start":4770.234,"end":4770.364},{"text":"would","start":4770.364,"end":4770.607},{"text":"be","start":4770.607,"end":4770.704},{"text":"behind","start":4770.769,"end":4771.239},{"text":"only","start":4771.434,"end":4771.726},{"text":"India","start":4771.921,"end":4772.408},{"text":"and","start":4772.408,"end":4772.57},{"text":"China.","start":4772.586,"end":4773.056}]},{"text":"Counter-terrorism at Kumbh is an unprecedented logistical nightmare, requiring security forces to execute hyper-vigilant and high-tech surveillance without disrupting the profound spiritual flow or triggering a catastrophic panic in the world's largest human gathering.","start":4774.37,"end":4795.891,"topics":[{"key":"critical-infrastructure","label":"Critical Infrastructure and Border Security","description":"Speakers linked AI-enabled counter-terrorism to the protection of smart cities, public spaces, borders, and critical infrastructure. They also warned that terrorist actors may use emerging technologies to project violence across borders and threaten essential civilian systems."},{"key":"institutional-readiness","label":"Institutional Readiness and Capacity-Building","description":"A major topic was whether institutions can adapt quickly enough to use AI effectively and responsibly. Speakers highlighted leadership training, organizational readiness assessments, national strategies, and practical capacity-building for law enforcement and counter-terrorism agencies."}],"words":[{"text":"Counter-terrorism","start":4774.37,"end":4774.918},{"text":"at","start":4774.966,"end":4775.047},{"text":"Kumbh","start":4775.047,"end":4775.611},{"text":"is","start":4775.675,"end":4775.74},{"text":"an","start":4775.837,"end":4775.901},{"text":"unprecedented","start":4776.078,"end":4777.562},{"text":"logistical","start":4778.029,"end":4778.739},{"text":"nightmare,","start":4778.739,"end":4779.319},{"text":"requiring","start":4779.948,"end":4780.415},{"text":"security","start":4780.448,"end":4781.076},{"text":"forces","start":4781.076,"end":4781.463},{"text":"to","start":4781.576,"end":4781.673},{"text":"execute","start":4781.802,"end":4782.27},{"text":"hyper-vigilant","start":4782.27,"end":4783.251},{"text":"and","start":4783.251,"end":4783.315},{"text":"high-tech","start":4783.428,"end":4784.039},{"text":"surveillance","start":4784.409,"end":4785.487},{"text":"without","start":4786.001,"end":4786.661},{"text":"disrupting","start":4786.741,"end":4788.06},{"text":"the","start":4788.173,"end":4788.253},{"text":"profound","start":4788.334,"end":4788.897},{"text":"spiritual","start":4788.897,"end":4789.46},{"text":"flow","start":4789.46,"end":4789.926},{"text":"or","start":4790.477,"end":4790.525},{"text":"triggering","start":4790.557,"end":4791.103},{"text":"a","start":4791.216,"end":4791.232},{"text":"catastrophic","start":4791.296,"end":4792.839},{"text":"panic","start":4793.208,"end":4793.642},{"text":"in","start":4794.011,"end":4794.06},{"text":"the","start":4794.108,"end":4794.156},{"text":"world's","start":4794.268,"end":4794.622},{"text":"largest","start":4794.75,"end":4795.216},{"text":"human","start":4795.216,"end":4795.538},{"text":"gathering.","start":4795.538,"end":4795.891}]},{"text":"Most advanced tool helped us manage this flow and keep it secure.","start":4796.678,"end":4801.091,"topics":[{"key":"ai-threat-multiplier","label":"AI as Threat and Security Tool","description":"Speakers repeatedly described artificial intelligence as a double-edged technology: terrorists can use it for propaganda, recruitment, deception, and operational support, while states can use it to improve detection, analysis, and prevention. A central theme was how AI is changing counter-terrorism from a slower human-led process into a faster, data-driven contest over capability and trust."}],"words":[{"text":"Most","start":4796.678,"end":4797.064},{"text":"advanced","start":4797.064,"end":4797.578},{"text":"tool","start":4797.626,"end":4797.803},{"text":"helped","start":4797.803,"end":4798.494},{"text":"us","start":4798.51,"end":4798.638},{"text":"manage","start":4799.169,"end":4799.57},{"text":"this","start":4799.715,"end":4799.86},{"text":"flow","start":4799.86,"end":4800.146},{"text":"and","start":4800.146,"end":4800.315},{"text":"keep","start":4800.315,"end":4800.568},{"text":"it","start":4800.568,"end":4800.652},{"text":"secure.","start":4800.652,"end":4801.091}]},{"text":"What we call AI in general sense is actually large language model.","start":4804.32,"end":4808.146,"topics":[],"words":[{"text":"What","start":4804.32,"end":4804.433},{"text":"we","start":4804.433,"end":4804.498},{"text":"call","start":4804.66,"end":4805.065},{"text":"AI","start":4805.065,"end":4805.195},{"text":"in","start":4805.39,"end":4805.454},{"text":"general","start":4805.503,"end":4805.827},{"text":"sense","start":4805.827,"end":4806.168},{"text":"is","start":4806.378,"end":4806.427},{"text":"actually","start":4806.524,"end":4807.027},{"text":"large","start":4807.027,"end":4807.351},{"text":"language","start":4807.432,"end":4807.773},{"text":"model.","start":4807.821,"end":4808.146}]},{"text":"As the name suggests, it works on learning from large text of a language.","start":4808.713,"end":4812.84,"topics":[],"words":[{"text":"As","start":4808.713,"end":4808.778},{"text":"the","start":4808.81,"end":4808.891},{"text":"name","start":4808.891,"end":4809.086},{"text":"suggests,","start":4809.135,"end":4809.621},{"text":"it","start":4810.1,"end":4810.196},{"text":"works","start":4810.196,"end":4810.519},{"text":"on","start":4810.599,"end":4810.76},{"text":"learning","start":4810.76,"end":4811.067},{"text":"from","start":4811.099,"end":4811.421},{"text":"large","start":4811.421,"end":4811.712},{"text":"text","start":4811.905,"end":4812.228},{"text":"of","start":4812.228,"end":4812.405},{"text":"a","start":4812.405,"end":4812.453},{"text":"language.","start":4812.453,"end":4812.84}]},{"text":"India, with its 22 official languages, 122+ major languages, and 1,600+ dialects pose a special challenge for AI models.","start":4813.195,"end":4824.123,"topics":[{"key":"bias-transparency","label":"Bias, Transparency, and Public Trust","description":"Several remarks emphasized that AI systems can fail because of poor context, weak data, algorithmic bias, and limited explainability. Building public trust therefore requires careful testing, transparency, fairness, and attention to linguistic and social diversity in how these systems are designed and deployed."},{"key":"human-rights-safeguards","label":"Human Rights and Safeguards","description":"Multiple speakers stressed that AI in counter-terrorism must remain grounded in international law, human rights, and the rule of law. Concerns included surveillance abuse, predictive policing risks, transparency, explainability, data protection, and the need for meaningful human oversight and accountability."}],"words":[{"text":"India,","start":4813.195,"end":4813.614},{"text":"with","start":4813.678,"end":4813.904},{"text":"its","start":4813.904,"end":4814.065},{"text":"22","start":4814.065,"end":4814.662},{"text":"official","start":4814.71,"end":4815.049},{"text":"languages,","start":4815.049,"end":4815.5},{"text":"122+","start":4815.855,"end":4816.983},{"text":"major","start":4816.983,"end":4817.29},{"text":"languages,","start":4817.37,"end":4817.757},{"text":"and","start":4818.597,"end":4818.694},{"text":"1,600+","start":4818.694,"end":4819.834},{"text":"dialects","start":4820.204,"end":4820.686},{"text":"pose","start":4821.168,"end":4821.312},{"text":"a","start":4821.489,"end":4821.505},{"text":"special","start":4821.521,"end":4822.147},{"text":"challenge","start":4822.87,"end":4823.159},{"text":"for","start":4823.272,"end":4823.545},{"text":"AI","start":4823.577,"end":4823.705},{"text":"models.","start":4823.818,"end":4824.123}]},{"text":"Code-switching, that is seamless switching between languages, is yet another major challenge.","start":4824.509,"end":4829.054,"topics":[{"key":"bias-transparency","label":"Bias, Transparency, and Public Trust","description":"Several remarks emphasized that AI systems can fail because of poor context, weak data, algorithmic bias, and limited explainability. Building public trust therefore requires careful testing, transparency, fairness, and attention to linguistic and social diversity in how these systems are designed and deployed."}],"words":[{"text":"Code-switching,","start":4824.509,"end":4825.167},{"text":"that","start":4825.44,"end":4825.617},{"text":"is","start":4825.617,"end":4825.697},{"text":"seamless","start":4825.697,"end":4826.195},{"text":"switching","start":4826.308,"end":4826.613},{"text":"between","start":4826.645,"end":4827.03},{"text":"languages,","start":4827.03,"end":4827.496},{"text":"is","start":4827.689,"end":4827.753},{"text":"yet","start":4827.914,"end":4828.171},{"text":"another","start":4828.171,"end":4828.572},{"text":"major","start":4828.572,"end":4828.829},{"text":"challenge.","start":4828.829,"end":4829.054}]},{"text":"Also, even Hindi, the most widely spoken of Indian languages, contributes only to about 0.1% of the total text of internet.","start":4830.179,"end":4839.238,"topics":[{"key":"bias-transparency","label":"Bias, Transparency, and Public Trust","description":"Several remarks emphasized that AI systems can fail because of poor context, weak data, algorithmic bias, and limited explainability. Building public trust therefore requires careful testing, transparency, fairness, and attention to linguistic and social diversity in how these systems are designed and deployed."}],"words":[{"text":"Also,","start":4830.179,"end":4830.564},{"text":"even","start":4830.982,"end":4831.191},{"text":"Hindi,","start":4831.207,"end":4831.432},{"text":"the","start":4831.544,"end":4831.689},{"text":"most","start":4831.689,"end":4832.187},{"text":"widely","start":4832.187,"end":4832.588},{"text":"spoken","start":4832.588,"end":4832.974},{"text":"of","start":4832.974,"end":4833.086},{"text":"Indian","start":4833.086,"end":4833.375},{"text":"languages,","start":4833.391,"end":4833.841},{"text":"contributes","start":4834.098,"end":4835.174},{"text":"only","start":4835.239,"end":4835.528},{"text":"to","start":4835.56,"end":4835.72},{"text":"about","start":4835.72,"end":4836.01},{"text":"0.1%","start":4836.026,"end":4836.732},{"text":"of","start":4837.23,"end":4837.295},{"text":"the","start":4837.311,"end":4837.407},{"text":"total","start":4837.407,"end":4837.873},{"text":"text","start":4837.873,"end":4838.146},{"text":"of","start":4838.355,"end":4838.66},{"text":"internet.","start":4838.917,"end":4839.238}]},{"text":"Famously, AI systems cannot create an image of a person writing with his left hand.","start":4839.881,"end":4845.969,"topics":[{"key":"bias-transparency","label":"Bias, Transparency, and Public Trust","description":"Several remarks emphasized that AI systems can fail because of poor context, weak data, algorithmic bias, and limited explainability. Building public trust therefore requires careful testing, transparency, fairness, and attention to linguistic and social diversity in how these systems are designed and deployed."}],"words":[{"text":"Famously,","start":4839.881,"end":4840.427},{"text":"AI","start":4841.246,"end":4841.375},{"text":"systems","start":4841.423,"end":4841.873},{"text":"cannot","start":4841.985,"end":4842.467},{"text":"create","start":4842.467,"end":4843.254},{"text":"an","start":4843.254,"end":4843.366},{"text":"image","start":4843.366,"end":4843.72},{"text":"of","start":4843.816,"end":4843.929},{"text":"a","start":4843.929,"end":4844.057},{"text":"person","start":4844.073,"end":4844.427},{"text":"writing","start":4844.539,"end":4844.844},{"text":"with","start":4844.941,"end":4845.085},{"text":"his","start":4845.117,"end":4845.326},{"text":"left","start":4845.503,"end":4845.808},{"text":"hand.","start":4845.808,"end":4845.969}]},{"text":"Because the majority of the data fed to it was of right-handed persons.","start":4846.483,"end":4851.271,"topics":[{"key":"bias-transparency","label":"Bias, Transparency, and Public Trust","description":"Several remarks emphasized that AI systems can fail because of poor context, weak data, algorithmic bias, and limited explainability. Building public trust therefore requires careful testing, transparency, fairness, and attention to linguistic and social diversity in how these systems are designed and deployed."}],"words":[{"text":"Because","start":4846.483,"end":4846.933},{"text":"the","start":4847.19,"end":4847.27},{"text":"majority","start":4847.27,"end":4847.848},{"text":"of","start":4847.848,"end":4847.945},{"text":"the","start":4847.945,"end":4848.073},{"text":"data","start":4848.089,"end":4848.33},{"text":"fed","start":4848.411,"end":4848.716},{"text":"to","start":4848.716,"end":4848.812},{"text":"it","start":4848.812,"end":4849.021},{"text":"was","start":4849.359,"end":4849.6},{"text":"of","start":4849.6,"end":4849.664},{"text":"right-handed","start":4849.953,"end":4850.628},{"text":"persons.","start":4850.821,"end":4851.271}]},{"text":"Just imagine then, how can AI actually know India, which is like 50 countries in itself?","start":4851.865,"end":4857.987,"topics":[{"key":"bias-transparency","label":"Bias, Transparency, and Public Trust","description":"Several remarks emphasized that AI systems can fail because of poor context, weak data, algorithmic bias, and limited explainability. 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Thank you very much, Akhileh, and thank you to all our distinguished speakers who have joined online and in 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just at time, but we'd like to at least offer the opportunity to take one or two questions from the 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findings.","start":5214.86,"end":5220.66,"topics":[],"words":[{"text":"Um,","start":5214.86,"end":5215.42},{"text":"and","start":5215.42,"end":5215.5},{"text":"we","start":5215.5,"end":5215.6},{"text":"certainly","start":5215.6,"end":5215.86},{"text":"welcome","start":5215.86,"end":5216.46},{"text":"a","start":5216.46,"end":5216.9},{"text":"platform","start":5216.9,"end":5217.28},{"text":"perhaps","start":5217.28,"end":5217.58},{"text":"on","start":5217.58,"end":5217.8},{"text":"another","start":5217.8,"end":5218.02},{"text":"occasion","start":5218.02,"end":5218.46},{"text":"to","start":5218.46,"end":5218.72},{"text":"share","start":5218.72,"end":5218.98},{"text":"more","start":5218.98,"end":5219.34},{"text":"detail","start":5219.34,"end":5219.76},{"text":"about","start":5219.76,"end":5220.06},{"text":"our","start":5220.06,"end":5220.34},{"text":"findings.","start":5220.34,"end":5220.66}]}]},{"sentences":[{"text":"Thank 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think we are beyond time.","start":5228.12,"end":5229.54,"topics":[],"words":[{"text":"Um,","start":5228.12,"end":5228.152},{"text":"so","start":5228.168,"end":5228.313},{"text":"with","start":5228.313,"end":5228.458},{"text":"that,","start":5228.458,"end":5228.604},{"text":"I","start":5228.62,"end":5228.636},{"text":"think","start":5228.636,"end":5228.943},{"text":"we","start":5228.943,"end":5229.04},{"text":"are","start":5229.04,"end":5229.12},{"text":"beyond","start":5229.12,"end":5229.33},{"text":"time.","start":5229.362,"end":5229.54}]},{"text":"So allow me once again, on behalf of UNICRU, UNOCT, uh, to thank our distinguished hosts, um, permanent missions of India, UAE, Japan, um, and the European Union for their support.","start":5229.604,"end":5239.934,"topics":[{"key":"multistakeholder-cooperation","label":"International and Multi-Stakeholder Cooperation","description":"A recurring theme was that no single country or institution can address AI-related terrorist threats alone. 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