The Behavioral Design Podcast

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

  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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• Sci-Fi and AI: Exploring Annie Bot with Sierra Greer

  Sci-Fi and AI: Exploring Annie Bot with Sierra GreerIn this episode of the Behavioral Design Podcast, hosts Aline and Samuel dive into the ethical, emotional, and societal complexities of AI companionship with special guest Sierra Greer, author of Annie Bot. This thought-provoking novel explores AI-human relationships, autonomy, and the blurred line between artificial intelligence and the human experience.Sierra shares her inspiration for Annie Bot and how sci-fi can serve as a lens to explore real-world ethical dilemmas in AI development. The conversation covers the concept of reinforcement learning in AI and how it mirrors human conditioningThe gender dynamics embedded in AI design, and the ethical implications of AI companions. The discussion also examines real-life cases of people forming deep emotional bonds with AI chatbotsThe episode rounds out with a lively quickfire round, where Sierra debates whether AI should replace lost loved ones, act as conversational assistants for introverts, or intervene in human arguments.This is a must-listen for fans of sci-fi, behavioral science, and those fascinated by the future of AI companionship and emotional intelligence.LINKS:Sierra Greer websiteAnnie Bot – Official Book PageGoodreads ProfileTIMESTAMPS:01:43 AI Companions: A Controversial Opinion05:48 Exploring Sci-Fi and AI in Literature07:42 Introducing Sierra Greer and Her Book09:12 Reinforcement Learning Explained15:47 Diving into the World of Annie Bot23:17 Power Dynamics and Human-Robot Relationships32:31 Humanity and Artificial Intelligence41:31 Autonomy vs. Agreeableness in Relationships43:20 Reinforcement Learning in AI and Humans46:13 Ethics and Gaslighting in AI48:57 Gender Dynamics in AI Design57:18 AI Companions and Human Relationships01:06:45 Quickfire Round: To AI or Not to AI01:12:39 Final Thoughts and Controversial Opinions--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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• AI and Behavioral Science in Public Policy with Laura de Molière

  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: • LinkedIn Profile • 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 -- 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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  1:11:09
• Predicting 2025 and Beyond with Jared Peterson

  Predictions for 2025: AI, AGI, and the Future of Behavioral Science with Jared Peterson In this episode of the Behavioral Design Podcast, host Samuel is joined by Jared Peterson, a behavioral scientist and expert in decision science at Nuance Behavior. Together, they explore some of the most pressing questions and exciting developments at the intersection of AI, behavioral science, and the future of human-centered design. The conversation highlights key advancements from 2024, including the rise of multimodal AI, breakthroughs in AI agents, and the transformative use of AI in scientific research. Samuel and Jared share bold predictions for 2025, tackling questions like: Will AI agents become trusted coworkers? Can AI revolutionize science? And how should we navigate the hype surrounding artificial general intelligence (AGI)? The discussion is packed with hot takes, nuanced perspectives, and thoughtful reflections, including Jared’s controversial prediction about the future of AI in predicting research replicability. This episode is a must-listen for anyone curious about the rapidly evolving AI landscape and its implications for behavioral science, creativity, and society at large. For questions or comments - email [email protected] LINKS: Jared's website Jared's linkedin The Science of Context A Failure to Disagree TIMESTAMPS 00:00 – Meet Jared Peterson: Behavioral Scientist and AI Expert 01:01 – Reflections on 2024: Key Breakthroughs and Predictions 03:36 – The Multimodal Evolution of AI 10:06 – AI Surpassing Human Benchmarks 21:25 – The Rise of AI Agents and Synthetic Content 35:18 – Musical Turing Test: AI vs. Eurovision 43:26 –Predictions for 2025: AI Coworkers and Beyond 44:06 – AI Coworkers: The Future of Work? 51:11 – AI in Science: Revolutionizing Research 01:05:56 – The Hype and Reality of AGI 01:10:42 – Adoption Challenges and Future Predictions 01:25:40 – Final Thoughts and Controversial Predictions -- 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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  1:34:38
• Psychological Targeting & AI with Sandra Matz

  Exploring Psychological Targeting and the Power of AI with Sandra Matz In this episode of the Behavioral Design Podcast, hosts Aline and Samuel sit down with Sandra Matz, leading expert on psychological targeting and Associate Professor of Business at Columbia Business School. As a computational social scientist, Sandra uses Big Data analytics and experimental methods to study human behavior, uncovering how psychological traits influence business outcomes like financial well-being, consumer satisfaction, and team performance. The conversation covers how digital footprints from social media, GPS data, and more are leveraged to create psychological profiles, shaping everything from advertisements to decision-making. Sandra provides unique insights into the controversial Cambridge Analytica case and discusses the democratization of personalized content generation through tools like ChatGPT. Whether you're curious about personality psychology, the ethics of data privacy, or the evolving role of AI, this episode is a must-listen. LINKS: Sandra Matz: Sandra's Website Her New Book: Mindmasters Relevant Research and Resources: Cambridge Analytica and the Evolution of Psychological Targeting The Social Dilemma Documentary Big Five Personality Model Explained Moral Foundations Theory Overview TIMESTAMPS: 02:03 – Personality Tests09:23 – ChatGPT Gift Experiment19:50 – Introducing Sandra Matz21:35 – Understanding Psychological Targeting24:27 – Real-World Examples and Implications34:58 – Cambridge Analytica and Data Privacy39:38 – The Social Dilemma and Personality Representation41:19 – Understanding Personality Traits43:49 – Dynamic Personality and Context46:26 – AI's Role in Psychological Targeting50:32 – Generative AI and Personalized Content58:40 – Ethical Considerations and Future of AI01:11:40 – Final Thoughts and Sandra’s New Book -- 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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