Date and time
Wednesday 25 March
6-7pm
Tickets
Complimentary
Registration
Please use the form below to book.
Guests
You’ll be given a link to the event and members of your household are welcome to join the call (this means these guests will be with you on camera and using the same device/Zoom account).
Terms and conditions
Please review our event terms and conditions and our Alumni Code of Behaviour.
General information
For further information or if you have any enquiries, please contact the Development Office on 01223 338700 or at development@joh.cam.ac.uk.
Booking deadline
Sunday 22 March
Superintelligent AI: Catastrophic Risk and Existential Hope
Join John-Clark Levin (2016) in conversation with Jess Gorman (1985), exploring the roadmap to broadly superhuman AI and what that will mean for humanity.
Drawing on John-Clark’s research, they will cut through the hype and discuss both the profound dangers that superintelligence would pose if it is misused by bad actors or escapes human control altogether, and its enormous potential to make human lives healthier and wealthier through breakthroughs in fields like medicine and materials science.
As the AI field celebrates the 70th anniversary of its founding at the 1956 Dartmouth conference, John-Clark will highlight key milestones that made possible today’s models and share predictions about the path forward.
To book, please use the form below.
John-Clark Levin (2016) is currently completing his PhD at St John’s College, studying foresight about artificial intelligence. Simultaneously, he is Research Lead for Ray Kurzweil, Google’s chief futurist from 2012-2025, and the world’s foremost authority on the future of artificial intelligence.
He is also a Yorktown Institute Fellow, senior AI adviser at Greenmantle (Sir Niall Ferguson’s macrostrategy firm) and a regular adviser to governments, NGOs and Fortune 500 companies. John-Clark has lectured at a multitude of institutions worldwide, including RAND and the Centre for the Study of Existential Risk, and his commentary has appeared frequently in numerous publications such as the Wall Street Journal, TIME Magazine, and MIT Technology Review.
