The Behavioral Design Podcast

By: Samuel Salzer and Aline Holzwarth
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  • Summary

  • How can we change behavior in practice? What role does AI have to play in behavioral design? Listen in as hosts Samuel Salzer and Aline Holzwarth speak with leading experts on all things behavioral science, AI, design, and beyond. The Behavioral Design Podcast from Habit Weekly and Nuance Behavior provides a fun and engaging way to learn about applied behavioral science and how to design for behavior change in practice. The latest season explores the fascinating intersection of Behavioral Design and AI. Subscribe and follow! For questions or to get in touch, email podcast@habitweekly.com.
    Samuel Salzer and Aline Holzwarth
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Science Social Sciences
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Episodes
  • The Dark Side of AI – Halloween Special

    The Dark Side of AI – Halloween Special
    Oct 30 2024

    In this spine-chilling Halloween special of the Behavioral Design Podcast, co-hosts Aline Holzwarth and Samuel Salzer take listeners on a journey into the eerie intersection of AI and behavioral science. They explore the potential ethical and social consequences of AI, from our urge to anthropomorphize machines to the creeping influence of human biases in AI engineering.

    The episode kicks off with the hosts sharing their favorite Halloween costumes and family traditions before delving into the broader theme of Frankenstein as an apt metaphor for AI. They discuss the human inclination to attribute human qualities to non-human entities and the ethical implications of creating machines that mirror humanity. The conversation deepens with reflections on biases in AI development, risks of ‘playing God,’ and the tension between technological progress and human oversight.

    In a thrilling twist, the hosts read a co-authored sci-fi story written with ChatGPT, illustrating the potential dark consequences of unchecked AI advancement. The episode wraps up with Halloween-themed wishes, encouraging listeners to ponder the boundaries between human and machine as they celebrate the holiday.


    Timestamps:

    03:38 – Frankenstein: Revisiting the original story

    09:09 – Frankenstein’s Modern AI Metaphor: Parallels to today’s technology

    18:06 – Reflections on AI and Anthropomorphism: The urge to humanize machines

    36:31 – Exploring Human Biases in AI Development: How biases shape AI

    42:06 – Trust in AI: Human vs. algorithmic decision-making

    46:45 – The Personalization of AI Systems: Pros and cons of tailored experiences

    49:10 – The Ethics of Playing God with AI: Examining the risks

    55:56 – Concluding Thoughts and Halloween Wishes: Reflecting on AI’s duality

    --

    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.com⁠⁠⁠⁠⁠

    The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠
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    1 hr
  • Recommender Systems with Carey Morewedge

    Recommender Systems with Carey Morewedge
    Oct 23 2024
    In this episode of the Behavioral Design Podcast, we delve into the world of AI recommender systems with special guest Carey Morewedge, a leading expert in behavioral science and AI. The discussion covers the fundamental mechanics behind AI recommendation systems, including content-based filtering, collaborative filtering, and hybrid models. Carey explains how platforms like Netflix, Twitter, and TikTok use implicit data to make predictions about user preferences, and how these systems often prioritize short-term engagement over long-term satisfaction. The episode also touches on ethical concerns, such as the gap between revealed and normative preferences, and the risks of relying too much on algorithms without considering the full context of human behavior. Join co-hosts Aline Holzwarth and Samuel Salzer as they together with Carey explore the delicate balance between human preferences and algorithmic influence. This episode is a must-listen for anyone interested in understanding the complexities of AI-driven recommendations! -- LINKS: Carey Morewedge: Google Scholar Profile Carey Morewedge - LinkedIn Boston University Faculty Page Personal Website Understanding AI Recommender Systems: How Netflix’s Recommendation System WorksImplicit Feedback for Recommender Systems (Research Paper)Why People Don’t Trust Algorithms (Harvard Business Review)⁠Nuance Behavior Website⁠ -- TIMESTAMPS: 00:00 The 'Do But Not Recommend' Game 07:53 The Complexity of Recommender Systems 08:58 Types of Recommender Systems 12:08 Introducing Carey Morewedge 14:13 Understanding Decision Making in AI 17:00 Challenges in AI Recommendations 32:13 Long-Term Impact on User Behavior 33:00 Understanding User Preferences 35:03 Challenges with A/B Testing 40:06 Algorithm Aversion 46:51 Quickfire Round: To AI or Not to AI 52:55 The Future of AI and Human Relationships -- 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.com⁠⁠⁠⁠⁠ The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠
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    59 mins
  • AI and Behavioral Science – What You Need to Know

    AI and Behavioral Science – What You Need to Know
    Oct 16 2024
    In the latest episode of the Behavioral Design Podcast, we are excited to launch Season 4 with an in-depth exploration of how behavioral science and AI converge, setting the stage for an engaging and thought-provoking season. This episode tackles big questions around AI’s growing influence, offering insights into both its promise and its challenges, especially as they relate to human behavior and decision-making. Join co-hosts Aline Holzwarth and Samuel Salzer as they introduce key themes for the season, including the profound implications of AI on behavioral science and society at large. The episode opens with breaking news from the AI world, such as the significance of neural networks, which serve as the foundation of modern AI systems. The hosts explain how neural networks work and contrast them with the extraordinary complexity of the human brain. The episode covers essential concepts for behavioral scientists, including large language models (LLMs), the backbone of generative AI, as well as prompt engineering and AI agents. These tools are transforming fields from healthcare to customer service, and the hosts break down their real-world applications, highlighting how they are used to enhance decision-making, automate workflows, and drive personalized interventions. Samuel and Aline debunk several common myths about AI, such as whether generative AI truly enhances creativity or if more complex models are always better. They also explore algorithmic bias versus human bias, discussing how AI can both amplify and address societal inequities depending on how it is designed and implemented. In “To AI or Not to AI”, this season’s quickfire round, the hosts weigh in on whether they’d trust AI for tasks like driving their kids to daycare or offering relationship advice, sparking a thought-provoking discussion on AI’s role in everyday life. This episode is a must-listen for anyone curious about the evolving relationship between behavioral science and AI, offering both high-level insights and detailed explorations of the real-world implications of these technologies. -- TIMESTAMPS: 00:00 Introduction to the Behavioral Design Podcast 02:36 Breaking News 04:30 Understanding Neural Networks 09:38 The Beauty and Complexity of the Human Brain 17:37 Season Preview 21:53 Meet Your Hosts 29:00 Nuanced Behavior 30:43 AI 101 for Behavioral Scientists 44:14 Debunking AI Myths 01:02:15 To AI or Not to AI: Quickfire Round 01:14:45 Final Thoughts LINKS: Geoffrey Hinton’s Talk on AI and John Hopfield’s Contributions to Neural NetworksSherry Turkle’s Memoir “The Empathy Diaries”Marvin Minsky and the Concept of the Brain as a MachineCassie Kozyrkov’s Blog on Machine LearningSendhil Mullainathan’s Paper on Algorithmic FairnessGenerative AI enhances individual creativity but reduces the collective diversity of novel content Superintelligence: Paths, Dangers, Strategies Biased Algorithms Are Easier to Fix Than Biased PeopleNuance Behavior Website -- 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.com⁠⁠⁠⁠ The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠
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    1 hr and 18 mins

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