AI, US-China relations, and lessons from the OpenAI board (with Helen Toner)

Is it useful to vote against a majority when you might lose political or social capital for doing so? What are the various perspectives on the US / China AI race? How close is the competition? How has AI been used in Ukraine? Should we work towards a global ban of autonomous weapons? And if so, how should we define "autonomous"? Is there any potential for the US and China to cooperate on AI? To what extent do government officials — especially senior policymakers — worry about AI? Which particular worries are on their minds? To what extent is the average person on the street worried about AI? What's going on with the semiconductor industry in Taiwan? How hard is it to get an AI model to "reason"? How could animal training be improved? Do most horses fear humans? How do we project ourselves onto the space around us?

Helen Toner is the Director of Strategy and Foundational Research Grants at Georgetown's Center for Security and Emerging Technology (CSET). She previously worked as a Senior Research Analyst at Open Philanthropy, where she advised policymakers and grantmakers on AI policy and strategy. Between working at Open Philanthropy and joining CSET, Helen lived in Beijing, studying the Chinese AI ecosystem as a Research Affiliate of Oxford University's Center for the Governance of AI. Helen holds an MA in Security Studies from Georgetown, as well as a BSc in Chemical Engineering and a Diploma in Languages from the University of Melbourne. Follow her on Twitter at @hlntnr.

Staff

• Spencer Greenberg — Host / Director
• Josh Castle — Producer
• Ryan Kessler — Audio Engineer
• Uri Bram — Factotum
• WeAmplify — Transcriptionists

Music

• Broke for Free
• Josh Woodward
• Lee Rosevere
• Quiet Music for Tiny Robots
• wowamusic
• zapsplat.com

Affiliates

• Clearer Thinking
• GuidedTrack
• Mind Ease
• Positly
• UpLift