Modern artificial intelligence depends on a global workforce carrying out large volumes of data-related tasks, often under challenging and largely invisible working conditions. In this keynote, Alex Taylor will look closely at the particular nature of data work and how human judgements and subjectivities are broken down, organized and incorporated into datasets and AI models.
Modern artificial intelligence depends on a global workforce carrying out large volumes of data-related tasks, often under challenging and largely invisible working conditions. In this keynote, Alex Taylor will look closely at the particular nature of data work and how human judgements and subjectivities are broken down, organized and incorporated into datasets and AI models. The session will connect these everyday forms of work to the wider political and economic structures underpinning AI supply chains, and consider what new combinations of research and expertise are needed to better understand their implications for workers and society. The keynote forms part of INDL-9, the ninth annual conference of the International Network on Digital Labour, held at the ILO in Geneva.
Formats lisibles par machine: Texte brut · JSON
