There is broad consensus across the tech industry, governments and society, that as artificial intelligence becomes more embedded in every aspect of our world, regulation will be essential. But what does this look like? Can it be adopted without stifling innovation? Are current frameworks presented by government leaders headed in the right direction?
Join host Hannah Fry as she discusses these questions and more with Nicklas Lundblad, Director of Public Policy at Google DeepMind. Nicklas emphazises the importance of a nuanced approach, focusing on adaptability and evidence-based policymaking. He highlights the complexities of assessing risk and reward in emerging technologies, advocating for a focus on harm reduction rather than outright bans.
Timecodes:
00:00 Introduction
02:15 Current mood around AI
06:12 Where we are right now
08:05 Regulation needs
14:15 Planning for unknowns
19:40 Uncertainty and progress
24:17 Public and private sector
26:00 Self regulation
28:15 Investments in science
31:18 Risk and reward
32:20 Global approach
33:45 Regulation accelerating innovation
38:02 Unacceptable risk
40:00 Frontier models
47:50 Emerging capabilities
51:42 Technology diffusion
54:06 Hannah’s thoughts
Further reading and watching:
AI Principles:
Frontier Model Forum:
Ethics of AI assistants with Iason Gabriel
Thanks to everyone who made this possible, including but not limited to:
Presenter: Professor Hannah Fry
Series Producer: Dan Hardoon
Editor: Rami Tzabar, TellTale Studios
Commissioner & Producer: Emma Yousif
Music composition: Eleni Shaw
Camera Director and Video Editor: Bernardo Resende
Audio Engineer: Perry Rogantin
Video Studio Production: Nicholas Duke
Video Editor: Bilal Merhi
Video Production Design: James Barton
Visual Identity and Design: Eleanor Tomlinson
Commissioned by Google DeepMind
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