Nick Allardice joins the podcast to discuss how GiveDirectly uses AI to target cash transfers and predict natural disasters.
Nick Allardice joins the podcast to discuss how GiveDirectly uses AI to target cash transfers and predict natural disasters. Learn more about Nick's work here: https://www.nickallardice.com
Timestamps:
00:00 What is GiveDirectly?
15:04 AI for targeting cash transfers
29:39 AI for predicting natural disasters
46:04 How scalable is GiveDirectly's AI approach?
58:10 Decentralized vs. centralized data collection
1:04:30 Dream scenario for GiveDirectly
Former OpenAI safety researcher Stephen Adler discusses governing increasingly capable AI, including competitive race dynamics, gaps in testing and alignment, chatbot mental-health impacts, economic effects on labor, and international rules and audits before training superintelligent models.
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Tyler Johnston of the Midas Project discusses applying corporate accountability to the AI industry, focusing on OpenAI's actions, including subpoenas, and the need for transparency and public awareness regarding AI risks.
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Karl Koch discusses the AI Whistleblower Initiative, focusing on transparency and protections for AI insiders who identify safety risks. The episode explores current policies, legal gaps, and practical guidance for potential whistleblowers.
View episodeNo matter your level of experience or seniority, there is something you can do to help us ensure the future of life is positive.
