The Behavioral Design Podcast

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

In 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 conditioning
• The 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 chatbots

The 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 website
• Annie Bot – Official Book Page
• Goodreads Profile

TIMESTAMPS:

01:43 AI Companions: A Controversial Opinion

05:48 Exploring Sci-Fi and AI in Literature

07:42 Introducing Sierra Greer and Her Book

09:12 Reinforcement Learning Explained

15:47 Diving into the World of Annie Bot

23:17 Power Dynamics and Human-Robot Relationships

32:31 Humanity and Artificial Intelligence

41:31 Autonomy vs. Agreeableness in Relationships

43:20 Reinforcement Learning in AI and Humans

46:13 Ethics and Gaslighting in AI

48:57 Gender Dynamics in AI Design

57:18 AI Companions and Human Relationships

01:06:45 Quickfire Round: To AI or Not to AI

01:12:39 Final Thoughts and Controversial Opinions

--

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The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠

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.⁠⁠⁠⁠⁠⁠⁠⁠

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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:

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:

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.⁠⁠⁠⁠⁠⁠⁠

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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:

TIMESTAMPS:

--

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.⁠⁠⁠⁠⁠⁠⁠

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Behavior Change Score with Roos van Duijnhoven

In this special episode of the Behavioral Design Podcast, host Samuel continues the mini-series featuring expert practitioners from the Nuance Behavior team. This week’s guest is Roos van Duijnhoven, a behavioral scientist with a deep passion for designing human-centered digital solutions that drive meaningful behavior change.

Samuel and Roos explore a wide range of topics, including the Behavior Change Score Framework, strategies for improving onboarding and retention in digital health products, and the importance of focusing on real-world behavior (‘big E’ engagement) versus in-app behavior (‘little e’ engagement). They also dive into insights from Nuance Behavior’s ‘Behavior Change Score Report,’ which evaluates fitness apps and provides actionable lessons for designing more effective digital interventions.

This episode offers a treasure trove of insights for anyone interested in applying behavioral science to digital product design and health interventions!

LINKS:

TIMESTAMPS

00:36 Meet Roos van Duijnhoven

01:06 Recap of Susan Murhpy episode

07:31 Insights from the Behavior Change Score Report

20:14 Big E vs. Little e Engagement: Real-World vs. In-App Behavior

26:31 Controversial Opinions: Electric Bicycles

29:32 Conclusion and Farewell

--

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.⁠⁠⁠⁠⁠⁠

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Real-Time Behavior Change Algorithms with Susan Murphy

In this thought-provoking episode of the Behavioral Design Podcast, hosts Aline and Samuel explore the cutting edge of AI in behavioral science with Professor Susan Murphy, a world-renowned expert in statistics and behavioral research.

The conversation dives into Susan's groundbreaking work on micro-randomized trials and just-in-time adaptive interventions (JITAI) to create personalized, real-time behavior change algorithms. Together, they explore the role of reinforcement learning in adapting interventions over time, tackling ethical challenges, and sustaining user engagement in a rapidly evolving world.

This episode also includes a fun "To AI or Not to AI" quickfire round and Susan’s reflections on the "frontier" nature of behavioral science today, making this a must-listen for anyone passionate about technology, psychology, and innovation.

LINKS:

TIMESTAMPS

01:00 – AI Voice Assistants in Everyday Life

07:22 – Introduction to Susan Murphy

08:06 – Micro-Randomized Trials Explained

11:08 – Just-in-Time Adaptive Interventions (JITAI)

27:19 – Reinforcement Learning and Behavioral Science

35:15 – Adaptive Algorithms for Personalized Support

40:30 – Micro-Randomization and Personalized Interventions

45:19 – Maintaining Engagement in Digital Interventions

49:51 – The Frontier Nature of Behavioral Science

51:39 – Quickfire Round: To AI or Not to AI

57:13 – Ethical Considerations in AI and Behavioral Science

--

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.⁠⁠⁠⁠⁠⁠

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AI Chatbots and Synthetic Users with Hassan Aleem

In this special episode of the Behavioral Design Podcast, host Samuel kicks off a new mini-series featuring expert practitioners from the Nuance Behavior team.

This week’s guest is Hassan Aleem, a respected behavioral practitioner with a Ph.D. in neuroscience and extensive experience in industries like fintech, health wearables, and public health.

Together, Samuel and Hassan explore the fascinating intersection of AI and behavioral science. They discuss AI’s impact on user research, the opportunities and challenges of AI-powered chatbots, the role of synthetic users in behavioral research, and the potential of AI to streamline literature reviews.

The conversation culminates in a thought-provoking discussion: can AI truly understand and design for beauty?

This episode is packed with insights on how AI can enhance behavioral science practice while emphasizing the irreplaceable value of human expertise.

TIMESTAMPS

00:00 Introduction to the Behavioral Design Podcast
02:00 Meet Hassan Aleem: Neuroscientist and Behavioral Practitioner
02:37 Exploring AI in Behavioral Science
03:42 The Role of AI in User Research
10:21 Chatbots and Behavioral Design
18:50 AI in Literature Reviews and Research
34:59 Can AI Understand Beauty?
40:48 Conclusion and Final Thoughts

LINKS:

--

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.⁠⁠⁠⁠⁠

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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

Further Reading on AI and Behavioral Science:

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

--

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.

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Debunkbot and Other Tools Against Misinformation

In this follow-up episode of the Behavioral Design Podcast, hosts Aline Holzwarth and Samuel Salzer welcome back Gordon Pennycook, psychology professor at Cornell University, to continue their deep dive into the battle against misinformation.

Building on their previous conversation around misinformation’s impact on democratic participation and the role of AI in spreading and combating falsehoods, this episode focuses on actionable strategies and interventions to combat misinformation effectively.

Gordon discusses evidence-based approaches, including nudges, accuracy prompts, and psychological inoculation (or prebunking) techniques, that empower individuals to better evaluate the information they encounter.

The conversation highlights recent advancements in using AI to debunk conspiracy theories and examines how AI-generated evidence can influence belief systems. They also tackle the role of social media platforms in moderating content, the ethical balance between free speech and misinformation, and practical steps that can make platforms safer without stifling expression.

This episode provides valuable insights for anyone interested in understanding how to counter misinformation through behavioral science and AI.

LINKS:

Gordon Pennycook:

Further Reading on Misinformation:

TIMESTAMPS:

01:27 Intro and Early Voting
06:45 Welcome back, Gordon!
07:52 Strategies to Combat Misinformation
11:10 Nudges and Behavioral Interventions
14:21 Comparing Intervention Strategies
19:08 Psychological Inoculation and Prebunking
32:21 Echo Chambers and Online Misinformation
34:13 Individual vs. Policy Interventions
36:21 If You Owned a Social Media Company
37:49 Algorithm Changes and Platform Quality
38:42 Community Notes and Fact-Checking
39:30 Reddit’s Moderation System
42:07 Generative AI and Fact-Checking
43:16 AI Debunking Conspiracy Theories
45:26 Effectiveness of AI in Changing Beliefs
51:32 Potential Misuse of AI
55:13 Final Thoughts and Reflections

--

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.

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The Role of Misinformation and AI in the US Election with Gordon Pennycook

In this episode of the Behavioral Design Podcast, hosts Aline and Samuel explore the complex world of misinformation in the context of the U.S. elections with special guest Gordon Pennycook, a psychology professor at Cornell University.

The episode covers the effects of misinformation on democratic participation, and how behavioral science sheds light on reasoning errors that drive belief in falsehoods. Gordon shares insights from his groundbreaking research on misinformation, exploring how falsehoods gain traction and the role AI can play in both spreading and mitigating misinformation.

The conversation also tackles the evolution of misinformation, including the impact of social media and disinformation campaigns that blur the line between truth and fiction.

Tune in to hear why certain falsehoods spread faster than truths, the psychological appeal of conspiracy theories, and how humor can amplify the reach of misinformation in surprising ways.

LINKS:

Gordon Pennycook:

Further Reading on Misinformation:

TIMESTAMPS:

00:00 Introduction

03:14 Behavioral Science and Misinformation

05:28 Introducing Gordon Pennycook

10:02 The Evolution of Misinformation

12:46 AI’s Role in Misinformation

14:51 Impact of Misinformation on Elections

21:43 COVID-19 and Vaccine Misinformation

26:32 Technological Advancements in Misinformation

33:50 Conspiracy Theories

35:39 Misinformation and Social Media

42:35 The Role of Humor in Misinformation

48:08 Quickfire Round: To AI or Not to 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