Bridging AI and Behavioral Science

Using AI to Change Human Behavior

In this episode of the Behavioral Design Podcast, hosts Aline Holzwarth and Samuel Salzer explore the fascinating intersection of AI and behavioral science with Amy Bucher, Chief Behavior Officer at Lirio.

Together, they dive into the challenges and opportunities of integrating AI with behavioral science for health interventions, focusing on the critical need to design AI tools with human behavior in mind.

Key topics include the role of reinforcement learning and precision nudging in behavior change, the importance of grounded behavioral insights to cut through AI hype, and Amy’s experiences with personalized health interventions.

Amy also sheds light on the effectiveness of digital tools in behavior change and shares her vision for the future of AI in behavioral health.

Tune in for an insightful discussion on how behavioral science can shape the next generation of AI-driven health interventions!

LINKS:

Amy Bucher

• Lirio Website
• LinkedIn Profile

Further Reading on AI and Behavioral Science:

• ⁠How Machine Learning and Artificial Intelligence are Used in Digital Behavior Change Interventions: A Scoping Review⁠

• The Power of Large Behavior Models in Healthcare Consumer Engagement
• Moral Agents for Sustainable Transitions
• Personalized Digital Health Communications to Increase COVID-19 Vaccination in Underserved Populations: A Double Diamond Approach to Behavioral Design
• The Patient Experience of the Future is Personalized: Using Technology to Scale an N of 1 Approach
• Digital Twins and the Emerging Science of Self: Implications for Digital Health Experience Design and “Small” Data
• Feasibility of a Reinforcement Learning–Enabled Digital Health Intervention to Promote Mammograms
• Precision Nudging and Health Interventions
• Reinforcement Learning in Behavior Change

TIMESTAMPS:

00:30 Behavioral Science and AI: A Crucial Intersection

07:44 Introducing Amy Bucher

10:43 Scoping Review on AI in Behavior Change

16:05 Challenges and Misconceptions in AI

22:07 Reinforcement Learning and AI Agents

28:40 Designing Interventions with AI and Behavioral Science

31:32 Operationalizing Behavior Change Techniques

35:25 Challenges in Measuring Engagement

42:43 The Role of Behavioral Science in AI

46:53 Quickfire Round: To AI or Not to AI

49:25 Controversial Opinions on AI

53:52 Closing Thoughts and Acknowledgements

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