AI and Behavioral Science in Public Policy with Laura de Moliere
In this episode of the Behavioral Design Podcast, host Samuel Salzer is joined by Laura de Moliere, a behavioral scientist with deep expertise in applying behavioral insights to public policy. As the former head of behavioral science at the UK Cabinet Office, Laura has worked at the intersection of behavioral science and policymaking during some of the most high-stakes moments in recent history, including Brexit and COVID-19.
Samuel and Laura explore the evolving role of AI in behavioral science, reflecting on how AI can enhance decision-making, improve policymaking, and surface unintended consequences. Laura shares her AI “aha moment”—when she realized the potential of large language models to support policymakers in making more behaviorally informed decisions.
The discussion also covers the promises and perils of AI in behavioral science, the potential of synthetic users to test interventions, and the growing challenge of balancing AI’s capabilities with human biases and policymaking needs. The episode wraps up with a playful quickfire round, where Laura debates the use of AI in everything from tax optimization to gamified urinals.
This episode is a must-listen for anyone interested in the intersection of AI, behavioral science, and public policy, offering a nuanced and thought-provoking perspective on the future of AI in decision-making.
LINKS:
• Laura de Moliere:
• INCASE Framework on Unintended Consequences
TIMESTAMPS:
00:00 A Surprise Gift
05:38 Reflections on 2025
09:28 AI and Behavioral Science
19:29 Introducing Laura de Moliere
21:30 Start of Laura interview
33:08 Applying Behavioral Science to AI and Government
35:16 Behavioral Science and AI: Use Cases and Impacts
36:32 Understanding and Interacting with AI Models
47:43 Synthetic Users and Their Potential
01:01:08 Quickfire Round: To AI or Not to AI
01:06:35 Controversial Opinions on AI
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The song used is Murgatroyd by David Pizarro