এই এপিসোড সম্বন্ধে
Speaker: Shirley Bluvstein, Assistant Professor of Marketing at Baruch College
Description: Shirley Bluvstein discusses experimental research showing that a chatbot can appear more human and more helpful when it makes and corrects a small mistake. The episode connects perceived humanness to trust, manipulation, disclosure, tipping interfaces, defaults, and the broader power of seemingly minor design choices to shape consumer behavior.
About the speaker: Shirley Bluvstein is an Assistant Professor of Marketing at Baruch College's Zicklin School of Business. Her research focuses on consumer behavior, choice architecture, behavioral pricing, and how people perceive and interact with artificial intelligence.
Show notes:
- Shirley Bluvstein et. el., Imperfectly Human: The HumanizingPotential of (Corrected) Errors in Text-Based Communication
- Shirley Bluvstein Netter and Priya Raghubir, Tip to ShowOff: Impression Management Motivations Increase Consumers’ Generosity
- Shirley Bluvstein Netter and Priya Raghubir, "PayingMoney to Avoid Social Costs: The Surprising Impact of the Zero Tip Option"
- Nizan Packin, Consumer Finance and AI: The Death of the Second Opinion
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অতীতের এপিসোডগুলি অনুসন্ধান করুন
C.O.D.E. (CUNY on Digital Ethics) এর অতীতের এপিসোডগুলি অনুসন্ধান করুন।
এই পডকাস্টের অন্যান্য পর্বগুলি৷
Speaker: Gaia Bernstein, Professor of Law at Seton Hall University and Visiting Fellow at the Brookings Institution
Description: Recorded live before a CUNY audience as the Season 1 finale, this episode asks whether Big Tech is running Big Tobacco’s playbook. Gaia Bernstein discusses the California…
Speaker: Hannah Bloch-Wehba, Professor of Law at Texas A&M University School of Law
Description: Hannah Bloch-Wehba examines how Flock Safety's license-plate readers have grown into a nationwide surveillance network assembled through local contracts and public-private data sharing. The conversa…
Speaker: Jonathan Iwry, Fellow at the Wharton Accountable AI Lab
Description: Jonathan Iwry explores what happens whenresponsibility for AI harms is divided among developers, deployers, data providers, users, and regulators. The episode considers causation, strict liability for advanced AI, institu…
Speaker: Sean Stein Smith, Associate Professor of Accounting at Lehman College
Description: Sean Stein Smith brings the accountant's perspective to digital ethics. The episode examines blockchain, cryptoassets, decentralized finance, AI-assisted auditing, and the profession's public-interest role a…
দাবি পরিত্যাগ: এই পৃষ্ঠায় এম্বেড করা পডকাস্ট এবং আর্টওয়ার্ক Baruch College, City University of New York (CUNY) থেকে এসেছে, যা এর মালিকের সম্পত্তি এবং Listen Notes, Inc দ্বারা অনুমোদিত বা অনুমোদিত নয়৷
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