Regulating ChatGPT and Other Large Generative AI Models

Large Generative AI Models (LGAIMs) are revolutionizing how we create and visualize new content, communicate, and work. They will likely impact all sectors of society, from business development to medicine, from education to research, and from coding to the arts. Today, they are already deployed by millions of private and professional users to generate human-level text (eg, ChatGPT), images (eg, Stable Diffusion, DALL·E 2), videos (eg, Synthesia), or audio (eg, MusicLM). In the near future, they may be integrated into tools used to assess and communicate with job candidates, or into hospital administration systems drafting letters to patients based on case records. Such multi-modal decision engines may contribute to a more effective and potentially fairer allocation of resources. However, LGAIMs also carry significant risks. AI regulation, in the EU and beyond, has so far primarily focused on conventional AI models, not LGAIMs. In February 2023, Professor Hacker published the (presumably) first paper to situate these new generative models in the current debate on trustworthy AI regulation, and ask how the law can be tailored to their capabilities. After laying technical foundations, the legal part of the paper proceeds in four steps, covering (1) direct regulation, (2) data protection, (3) content moderation, and (4) policy proposals. The talk will be based on the paper and Professor Hacker’s subsequent interactions with researchers and policymakers.

The event will take place in the Summer Common Room at Magdalen College and online via Teams. Please note the location change: The event has moved from the Oxford Law Faculty to Magdalen College (ca 4 min walk).

Registration to attend in person is now closed due to full capacity. To attend online and receive the Teams link, please write an e-mail to future-of-tech-and-society-subscribe@maillist.ox.ac.uk until 11pm of 24 April 2023 which will sign you up for the respective mailing list.