When to AI, and When Not to AI with Eric Hekler  episode artwork

EPISODE · Mar 6, 2025 · 1H 6M

When to AI, and When Not to AI with Eric Hekler

from The Behavioral Design Podcast · host Samuel Salzer and Aline Holzwarth

When to AI, and When Not to AI with Eric Hekler"People are different. Context matters. Things change."In this episode of the Behavioral Design Podcast, Aline is joined by Eric Hekler, professor at UC San Diego, to explore the nuances of AI in behavioral science and health interventions. Eric’s mantra—emphasizing the importance of individual differences, context, and change—serves as a foundation for the conversation as they discuss when AI enhances behavioral interventions and when human judgment is indispensable.The discussion explores just-in-time adaptive interventions (JITAI), the efficiency trap of AI, and the jagged frontier of AI adoption—where machine learning excels and where it falls short. Eric shares his expertise on control systems engineering, human-AI collaboration, and the real-world challenges of scaling adaptive health interventions. The episode also explores teachable moments, the importance of domain knowledge, and the need for AI to support rather than replace human decision-making.The conversation wraps up with a quickfire round, where Eric debates AI’s role in health coaching, mental health interventions, and optimizing human routines.LINKS:Eric Hekler:TIMESTAMPS:02:01 Introduction and Correction05:21 The Efficiency Trap of AI08:02 Human-AI Collaboration11:04 Conversation with Eric Hekler14:12 Just-in-Time Adaptive Interventions15:19 System Identification Experiment28:27 Control Systems vs. Machine Learning39:44 Challenges with Classical Machine Learning43:16 Translating Research to Real-World Applications49:49 Community-Based Research and Context Matters59:46 Quickfire Round: To AI or Not to AI01:08:27 Final Thoughts on AI and Human Evolution--Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at [email protected] or book a call directly on our website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠nuancebehavior.com.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Support the podcast by joining ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Habit Weekly Pro⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more.Every Monday our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Habit Weekly newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business. Get in touch via ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠[email protected]⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠

When to AI, and When Not to AI with Eric Hekler"People are different. Context matters. Things change."In this episode of the Behavioral Design Podcast, Aline is joined by Eric Hekler, professor at UC San Diego, to explore the nuances of AI in behavioral science and health interventions. Eric’s mantra—emphasizing the importance of individual differences, context, and change—serves as a foundation for the conversation as they discuss when AI enhances behavioral interventions and when human judgment is indispensable.The discussion explores just-in-time adaptive interventions (JITAI), the efficiency trap of AI, and the jagged frontier of AI adoption—where machine learning excels and where it falls short. Eric shares his expertise on control systems engineering, human-AI collaboration, and the real-world challenges of scaling adaptive health interventions. The episode also explores teachable moments, the importance of domain knowledge, and the need for AI to support rather than replace human decision-making.The conversation wraps up with a quickfire round, where Eric debates AI’s role in health coaching, mental health interventions, and optimizing human routines.LINKS:Eric Hekler:TIMESTAMPS:02:01 Introduction and Correction05:21 The Efficiency Trap of AI08:02 Human-AI Collaboration11:04 Conversation with Eric Hekler14:12 Just-in-Time Adaptive Interventions15:19 System Identification Experiment28:27 Control Systems vs. Machine Learning39:44 Challenges with Classical Machine Learning43:16 Translating Research to Real-World Applications49:49 Community-Based Research and Context Matters59:46 Quickfire Round: To AI or Not to AI01:08:27 Final Thoughts on AI and Human Evolution--Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at [email protected] or book a call directly on our website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠nuancebehavior.com.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Support the podcast by joining ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Habit Weekly Pro⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more.Every Monday our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Habit Weekly newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business. Get in touch via ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠[email protected]⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠

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When to AI, and When Not to AI with Eric Hekler

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When to AI, and When Not to AI with Eric Hekler"People are different. Context matters. Things change."In this episode of the Behavioral Design Podcast, Aline is joined by Eric Hekler, professor at UC San Diego, to explore the nuances of AI in...

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