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
Maya Ackerman discusses human and machine creativity, exploring its definition, how AI alignment impacts it, and the role of hallucination. The conversation also covers strategies for human-AI collaboration.
Beatrice Erkers discusses the AI pathways project, focusing on approaches to maintain human oversight and control over AI, including tool AI and decentralized development, and examines trade-offs and strategies for safer AI futures.
Luke Drago discusses the potential societal and economic impacts of AI dominance, including changes in workplace structures, privacy concerns, and the importance of taking career risks during technological transitions.