{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/61e878a1419a9b0013b27134/6a761bcad410c25118fb0fa0?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Daniel Kokotajlo on AI 2040: Plan A","description":"<p>Daniel Kokotajlo, former OpenAI researcher and executive director of the AI Futures Project, joins Kevin Frazier, Director of the AI Innovation and Law Program at Texas Law and Senior Editor at Lawfare, to detail his policy recommendation–<a href=\"https://blog.aifutures.org/p/ai-2040-plan-a\" rel=\"noopener noreferrer\" target=\"_blank\"><u>AI 2040: Plan A</u></a>. It’s a thorough analysis of a policy pathway to delaying superintelligence, which Daniel and his co-authors think is necessary to ensure that the disruptive effects of highly-capable AI systems do not outweigh the benefits.&nbsp;</p><p><br></p><p>Kevin asks Daniel to explain scenario scrutiny, address feedback from other AI policy stakeholder such as <a href=\"https://newsletter.forethought.org/p/plan-as-problem-with-dry-tinder\" rel=\"noopener noreferrer\" target=\"_blank\"><u>Tom Davidson</u></a>, and detail what led him to already alter his estimation of how likely it is that policymakers adopt Plan A.</p>","author_name":"Lawfare & University of Texas Law School"}