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Date(s) - 24/01/2024
5:00 pm - 6:30 pm


Image by Alan Warburton / © BBC / Better Images of AI / Virtual Human / CC-BY 4.0

Invited talk by Benjamin Jacobsen (University of York) – Online

Benjamin Jacobsen is a lecturer in Sociology at University of York. In addition, Benjamin is an editorial board member on the journal The Sociological Review and a Visiting Fellow in the Algorithmic Societies Project at Durham University. His research broadly explores the power and politics of machine-learning algorithms in transforming culture and society. In this session, Jacobsen will critically explore ‘The Politics of Synthetic Data’ by shedding light on how the use of synthetically generated data for training machine-learning algorithms is changing the ways we envision these technologies, as well as how this emerging phenomenon is quickly transforming the possibilities of machine learning in contemporary society.

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