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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