
Hosted by Samuel Salzer and Aline Holzwarth · EN

Season 4 Finale: Our Most Controversial AI TakesWe wrap up Season 4 of the Behavioral Design Podcast with a different kind of conversation. Instead of looking outward at our guests’ insights, Aline and Samuel turn the mic on themselves, reflecting on the season, what we’ve learned, and the boldest, most controversial opinions we hold about AI.From questions about whether AI can truly emulate human qualities to fears of a future where we slowly de-skill ourselves by over-relying on machines, this episode is part reflection, part confessional. Highlights include:A look back at the season’s most surprising and provocative guest takes on AIWhy AI optimism often lives closest to where experts work—and where skepticism still lingersThe heated debate over AI companions: comforting helpers or human connection killers?Our personal, unfiltered takes on AI’s hidden risks, including cognitive offloading and the myth of collaborationThe strange and perhaps surprisingly useful role of AI “oracles” in our own livesThis is the perfect sendoff for Season 4: A candid, wide-ranging discussion about the future of AI, human behavior, and what it all means for how we live, think, and connect.--Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at hello@nuancebehavior.com 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 podcast@habitweekly.comThe song used is Murgatroyd by David Pizarro

Season 4 Recap: Can AI Capture a Whole Season?In this special recap episode of the Behavioral Design Podcast, hosts Aline and Samuel reflect on the ambitious arc of Season 4—our deep dive into the intersection of behavioral science and artificial intelligence. From empathic chatbots to algorithmic sameness, AI co-therapists to synthetic friendships, we explored how AI is reshaping human behavior, relationships, and decision-making.But here’s the twist: the second half of this episode isn’t hosted by us. It’s AI. Using transcripts from every conversation this season, we asked our AI co-hosts to generate a narrated summary of the biggest ideas and themes that emerged across episodes. Can AI recap a whole season better than we can? Is this the beginning of our own replacement?Along the way, we revisit:How AI is changing the emotional landscape of our livesWhy automation and personalization are both liberating and limitingWhat happens when algorithms replace—not just supplement—human judgmentThe ethical fault lines of psychological targeting, autonomy, and consentWhether behavioral science can keep up with the pace and power of AIIf you missed any episodes or want a distilled tour of the season, this is the one to listen to.Next up: our Season Finale, featuring Aline and Samuel’s most controversial takes on AI 🍿--Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at hello@nuancebehavior.com 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 podcast@habitweekly.comThe song used is Murgatroyd by David Pizarro

Productivity in the Age of AI with Oliver BurkemanIn this episode of the Behavioral Design Podcast, hosts Aline and Samuel are joined by Oliver Burkeman, journalist and bestselling author of Four Thousand Weeks, to explore what it means to live and work meaningfully in an era of accelerating AI.Together, they examine how AI tools are reshaping our relationship with time, focus, and control—from email-writing assistants to algorithmic scheduling and optimization. Oliver shares his thoughts on how these technologies, while promising to save us time, often pull us deeper into compulsive productivity loops and distract us from the deeper questions: What are we optimizing for? And what does it mean to spend our time well?The conversation covers:The seduction of infinite optionality and why AI might make it worseWhether AI-generated outputs dull our creative instincts or free themWhy doing fewer things might become even more important in the AI eraThe psychological cost of outsourcing decisions to machinesHow behavioral science can help people reclaim agency and meaning in a world of hyper-efficiencyThis episode is a must-listen for anyone navigating the tension between automation and intention—especially those wondering how to stay human in the loop.--Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at hello@nuancebehavior.com 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 podcast@habitweekly.comThe song used is Murgatroyd by David Pizarro

AI Co-Therapists with Alison CerezoIn this episode of the Behavioral Design Podcast, hosts Aline and Samuel talk with Dr. Alison Cerezo, a clinical psychologist, professor, and Senior Vice President of Research at Mpathic, a company developing AI tools that support therapists in delivering more empathetic and precise care.They explore the growing role of AI in mental health, from real-time feedback during therapy sessions to tools that help clinicians detect risk, stay aligned with best practices, and reduce bias. Alison describes how Mpathic works as a co-therapist—supporting rather than replacing the human element of therapy.The conversation also digs into larger questions: Can AI feel more empathetic than humans? How do we avoid over-reliance on machines for emotional support? And what does it really mean to design AI that complements rather than competes with people?This episode is a must-listen for anyone interested in the future of therapy, empathy, and AI—and what it looks like to build systems that enhance human care, not undermine it.--Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at hello@nuancebehavior.com 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 podcast@habitweekly.comThe song used is Murgatroyd by David Pizarro

Empathic Machines with Michael InzlichtIn this episode of the Behavioral Design Podcast, hosts Aline and Samuel are joined by Michael Inzlicht, professor of psychology at the University of Toronto and co-host of the podcast Two Psychologists Four Beers. Together, they explore the surprisingly effortful nature of empathy—and what happens when artificial intelligence starts doing it better than we do.Michael shares insights from his research into empathic AI, including findings that people often rate AI-generated empathy as more thoughtful, emotionally satisfying, and effortful than human responses—yet still prefer to receive empathy from a human. They unpack the paradox behind this preference, what it tells us about trust and connection, and whether relying on AI for emotional support could deskill us over time.This conversation is essential listening for anyone interested in the intersection of psychology, emotion, and emerging AI tools—especially as machines get better at sounding like they care.--Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at hello@nuancebehavior.com 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 podcast@habitweekly.comThe song used is Murgatroyd by David Pizarro

How Do You Build a Moral AI? with Jana Schaich BorgIn this episode of the Behavioral Design Podcast, hosts Aline and Samuel are joined by Jana Schaich Borg, Associate Research Professor at Duke University and co-author of the book “Moral AI and How We Get There”. Together they explore one of the thorniest and most important questions in the AI age: How do you encode human morality into machines—and should you even try?Drawing from neuroscience, philosophy, and machine learning, Jana walks us through bottom-up and top-down approaches to moral alignment, why current models fall short, and how her team’s hybrid framework may offer a better path. Along the way, they dive into the messy nature of human values, the challenges of AI ethics in organizations, and how AI could help us become more moral—not just more efficient.This conversation blends practical tools with philosophical inquiry and leaves us with a cautiously hopeful perspective: that we can, and should, teach machines to care.— Topics Covered:What AI alignment really means (and why it’s so hard)Bottom-up vs. top-down moral AI systemsHow organizations get ethical AI wrong—and what to do insteadThe messy reality of human values and decision makingTranslational ethics and the need for AI KPIsPersonalizing AI to match your valuesWhen moral self-reflection becomes a design feature—Timestamps:00:00 Intro: AI Alignment — Mission Impossible?04:00 Why Moral AI Is So Hard (and Necessary)07:00 The “Spec” Story & Reinforcement Gone Wrong10:00 Anthropomorphizing AI — Helpful or Misleading?12:00 Introducing Jana & the Moral AI Project15:00 What “Moral AI” Really Means18:00 Interdisciplinary Collaboration (and Friction)21:00 Bottom-Up vs. Top-Down Approaches27:00 Why Human Morality Is Messy31:00 Building a Hybrid Moral AI System41:00 Case Study: Kidney Donation Decisions47:00 From Models to Moral Reflection52:00 Embedding Ethics Inside Organizations56:00 Moral Growth Mindset & Training the Workforce01:03:00 Why Trust & Culture Matter Most01:06:00 Comparing AI Labs: OpenAI vs. Anthropic vs. Meta01:10:00 What We Still Don’t Know01:11:00 Quickfire: To AI or Not To AI01:16:00 Jana’s Most Controversial Take01:19:00 Can AI Make Us Better Humans?—🎧 Like this episode? Share it with a friend or leave us a review to help others discover the show.Let me know if you’d like an abridged version, pull quotes, or platform-specific text for Apple, Spotify, or LinkedIn.

Understanding AI Risks with Peter SlatteryIn this episode of the Behavioral Design Podcast, hosts Aline and Samuel are joined by Peter Slattery, behavioral scientist and lead researcher at MIT’s FutureTech lab, where he spearheads the groundbreaking AI Risk Repository project. Together, they dive into the complex and often overlooked risks of artificial intelligence—ranging from misinformation and malicious use to systemic failures and existential threats.Peter shares the intellectual and emotional journey behind categorizing over 1,000 documented AI risks, how his team built a risk taxonomy from 17,000+ sources, and why shared understanding and behavioral science are critical for navigating the future of AI.This one is a must-listen for anyone curious about AI safety, behavioral science, and the future of technology that’s moving faster than most of us can track.--LINKS:Peter's LinkedIn ProfileMIT FutureTech Lab: futuretech.mit.eduAI Risk Repository--Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at hello@nuancebehavior.com 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 podcast@habitweekly.comThe song used is Murgatroyd by David Pizarro

Enter the AI Lab: Insights from LinkedIn Polls and AI Literature ReviewsIn this episode of the Behavioral Design Podcast, hosts Samuel Salzer and Aline Holzwarth explore how AI is shaping behavioral design processes—from discovery to testing. They revisit insights from past LinkedIn polls, analyzing audience perspectives on which phases of behavioral design are best suited for AI augmentation and where human expertise remains crucial.The discussion then shifts to AI-driven literature reviews, comparing the effectiveness of various AI tools for synthesizing research. Samuel and Aline assess the strengths and weaknesses of different platforms, diving into key performance metrics like quality, speed, and cost, and debating the risks of over-reliance on AI-generated research without human oversight.The episode also introduces Nuance’s AI Lab, highlighting upcoming projects focused on AI-driven behavioral science innovations. The conversation concludes with a Behavioral Redesign series case study on Peloton, offering a fresh take on how AI and behavioral insights can reshape product experiences.If you're interested in the intersection of AI, behavioral science, and research methodologies, this episode is packed with insights on where AI is excelling—and where caution is needed.LINKS:Nuance AI Lab: WebsiteTIMESTAMPS:00:00 Introduction and Recap of Last Year's AI Polls06:27 AI's Strengths in Literature Review15:12 Emerging AI Tools for Research19:31 Evaluating AI Tools for Literature Reviews23:57 Comparing Chinese and American AI Tools26:01 Evaluating Literature Review Outputs28:12 Critical Analysis and Human Oversight35:19 The Worst Performing Model37:21 Introducing Nuance's AI Lab38:51 Behavioral Redesign Series: Peloton Example45:21 Podcast Highlights and Future Guests--Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at hello@nuancebehavior.com 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 podcast@habitweekly.comThe 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 hello@nuancebehavior.com 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 podcast@habitweekly.comThe song used is Murgatroyd by David Pizarro

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 hello@nuancebehavior.com 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 podcast@habitweekly.comThe song used is Murgatroyd by David Pizarro