By Samuel Salzer and Aline Holzwarth
4.6
1414 ratings
The podcast currently has 61 episodes available.
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:
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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
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
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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
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
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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
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
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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
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
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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
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!
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LINKS:
Carey Morewedge:
Understanding AI Recommender Systems:
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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
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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
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.
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TIMESTAMPS:
00:00 Introduction to the Behavioral Design Podcast
LINKS:
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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
We've reached the end of Season 3! 🎉
In this finale, we give you the inside scoop on topics behavioral design from 2023. From our favorite resources to AI to films, we explore all things behavioral design, so you too are in the inside scoop! All resources are linked below. Enjoy!
From the bottom of our hearts, thank you for supporting us throughout the year! We appreciate you! 🙏 🙌
Gratitude:
Favorite Resources:
Top 10 films:
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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
Welcome to the latest Product Deep Dive! 💊
In this bonus series of the Behavioral Design Podcast, we take a closer look at the seemingly simple, yet tremendously important, pill bottle.
Previous guest, Aarthi Rao, took her stab at designing the best pill bottle, so we decided to deep dive into all things behavioral design in the pill bottle world, ourselves! Easy, attractive, social, personalized...tune in to learn more, this one was a lot of fun!
Thank you to all of our listeners for supporting our podcast. Tune in next week for our Season 3 finale!
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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
Aarthi Rao leads behavioral insights at Cityblock Health, as their Vice President of Behavioral Insights and Strategic Engagement Innovation. Aarthi also founded the Design and Innovation Lab at CVS Health.
Aarthi has successfully merged human-centered practices, such as design thinking, with behavioral science at Cityblock. She is a strong advocate for merging qualitative and quantitative methods to better design patient experiences. Today we spoke to Aarthi about how to reach hard-to-reach communities, designing the perfect pill bottle that fits into a patient’s healthcare ecosystem, and so much more. Enjoy!
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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
The podcast currently has 61 episodes available.
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