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
Deric Cheng of the Windfall Trust discusses how AGI could transform the social contract, jobs, and inequality, exploring labor displacement, resilient work, new tax and welfare models, and long-term visions for decoupling economic security from employment.
Researcher Oly Sourbut discusses how AI tools might strengthen human reasoning, from fact-checking and scenario planning to honest AI standards and better coordination, and explores how to keep humans central while building trustworthy, society-wide sensemaking.
David Duvenaud examines gradual disempowerment after AGI, exploring how economic and political power and property rights could erode, why AI alignment may become unpopular, and what forecasting and governance might require.