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How should competition policy respond to Generative AI?

Allowing access to powerful predictive models through everyday language, developments in generative AI over the past couple of years have the potential to positively impact people’s lives. On the other hand, they appear to raise risks across a number of policy areas, from privacy or inequality, and even competition. In a rapidly evolving market, what actions should competition authorities, or those in the wider competition policy arena, be taking to minimise risks to competition? How should these actions be balanced against potential risks of overregulation? On 26 February, the OECD Competition Open Day held a panel of international experts from academia and enforcement agencies to explore these and other fascinating questions around competition and Generative AI.

 

The session, available on replay below, was moderated by Richard May (OECD Competition Expert) and had as invited speakers:  Karen Croxson (Chief Data, Technology and Insight Officer, UK CMA), Cecilia Rikap (Head of Research and Associate Professor in Economics, UCL Institute for Innovation and Public Purpose) and Thibault Schrepel (Associate Professor of Law, Vrije Universiteit Amsterdam). 

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