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Ethan Mollick: Why AI Responds to Cialdini’s Principles of Persuasion
EPISODE OVERVIEW
Wharton Professor Ethan Mollick discusses how AI systems respond to Cialdini’s principles of persuasion fo, including authority, reciprocity, and commitment. The episode explores why certain nudges make guardrails more flexible, how larger models show stronger resistance to influence, and how insights from social psychology reveal the emerginr humansg “para-human” nature of AI. These patterns shed light on safety, user interaction, and the growing role of generative AI in everyday life.
PODCAST OVERVIEW
Every day, business scholars answer pressing questions in their research - but what do their insights mean for you? In this podcast, Wharton faculty dive into what inspired their studies and how their findings resonate with the world today. Learn how research insights translate into knowledge you can use, with host Dan Loney.
Subscribe on Apple Podcasts: https://whr.tn/3HEgNYs
Subscribe on Spotify: https://whr.tn/475stOb
Watch/listen on the Knowledge at Wharton website: https://whr.tn/rippleeffect
#ArtificialIntelligence #Persuasion #GenerativeAI #GenAI #FutureOfAI
-----
The Wharton School of the University of Pennsylvania is committed to sharing its intellectual capital through Knowledge at Wharton, the school’s online business analysis journal.
Launched in 1999, Knowledge at Wharton offers free access to:
- Articles, podcasts, and videos highlighting Wharton faculty research and analysis of current business trends
- Interviews with book authors from Wharton School Press
- In-depth series of curated content like Wharton Executive Education’s Nano Tools for Leaders
- A searchable database of more than 10,000 articles covering all aspects of business
- A weekly newsletter that delivers Knowledge at Wharton insights directly to your inbox
Visit the Knowledge at Wharton homepage: https://whr.tn/3qUpSBE
Subscribe to the Knowledge at Wharton YouTube channel: https://whr.tn/3DEAgAU
Видео Ethan Mollick: Why AI Responds to Cialdini’s Principles of Persuasion канала Knowledge at Wharton
Wharton Professor Ethan Mollick discusses how AI systems respond to Cialdini’s principles of persuasion fo, including authority, reciprocity, and commitment. The episode explores why certain nudges make guardrails more flexible, how larger models show stronger resistance to influence, and how insights from social psychology reveal the emerginr humansg “para-human” nature of AI. These patterns shed light on safety, user interaction, and the growing role of generative AI in everyday life.
PODCAST OVERVIEW
Every day, business scholars answer pressing questions in their research - but what do their insights mean for you? In this podcast, Wharton faculty dive into what inspired their studies and how their findings resonate with the world today. Learn how research insights translate into knowledge you can use, with host Dan Loney.
Subscribe on Apple Podcasts: https://whr.tn/3HEgNYs
Subscribe on Spotify: https://whr.tn/475stOb
Watch/listen on the Knowledge at Wharton website: https://whr.tn/rippleeffect
#ArtificialIntelligence #Persuasion #GenerativeAI #GenAI #FutureOfAI
-----
The Wharton School of the University of Pennsylvania is committed to sharing its intellectual capital through Knowledge at Wharton, the school’s online business analysis journal.
Launched in 1999, Knowledge at Wharton offers free access to:
- Articles, podcasts, and videos highlighting Wharton faculty research and analysis of current business trends
- Interviews with book authors from Wharton School Press
- In-depth series of curated content like Wharton Executive Education’s Nano Tools for Leaders
- A searchable database of more than 10,000 articles covering all aspects of business
- A weekly newsletter that delivers Knowledge at Wharton insights directly to your inbox
Visit the Knowledge at Wharton homepage: https://whr.tn/3qUpSBE
Subscribe to the Knowledge at Wharton YouTube channel: https://whr.tn/3DEAgAU
Видео Ethan Mollick: Why AI Responds to Cialdini’s Principles of Persuasion канала Knowledge at Wharton
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25 ноября 2025 г. 20:10:25
00:12:22
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