Summary
For the 100th episode of AI Snacks, Anastassia talks with Tamilla Triantoro, who researches how people work, learn and trust alongside AI. They start with a simple question that turns out to be hard: what is trust in AI, and is it really trust, or only confidence in a system? Tamilla explains why fluent language makes us believe a machine understands us, and why we forgive a colleague's mistake but not a chatbot's.
She shares a study in which people worked with a supportive AI persona or a hostile one. Their bodies showed stress even when they said everything was fine, and the hostile group did worse work. Tamilla also describes the four AI roles she tested while writing Converging Minds, her "human unicorn" advice for small business owners, and why schools should teach students to question AI rather than ban it.
This matters for families, educators and leaders: the AI we choose shapes how people feel and think, so we need to choose it with care.
Guest Bio
Tamilla Triantoro is an Associate Professor of Business Analytics and Information Systems at Quinnipiac University's School of Business, where she co-directs the M&T Bank Center for Women and Business. Her research looks at the human costs and benefits of AI at work, frameworks for human and AI collaboration, and avatars in education and business. With Aleksandra Przegalinska she wrote Converging Minds: The Creative Potential of Collaborative AI (CRC Press, 2024), and she is working on a book about AI and human identity. She sits on the scientific board of the Human+AI Institute at CampusAI and is a fellow of the Global Justice Program at Yale. She holds a PhD from the City University of New York.
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