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Margaret Mitchell

AI researcher who has worked at Johns Hopkins, Microsoft Research, and Google Research. Her work centers on bias and fairness in AI.

Top 5 podcasts with Margaret Mitchell

Ranked by the Snipd community
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135 snips
Mar 15, 2025 • 58min

Good Robot #2: Everything is not awesome

In this discussion, AI research scientist Margaret Mitchell, linguistics professor Emily M. Bender, and Vox's Seagal Samuel examine the unsettling consequences of AI. They delve into ethics and responsibility when AI causes harm, reflecting on real-world impacts on minority populations. The trio also tackles biases in technology, the challenges of emotional complexity in AI, and the urgent need for ethical oversight. Their candid insights stress the pressing concerns over AI's future and highlight the balance between innovation and societal responsibility.
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40 snips
Mar 9, 2025 • 43min

Should AGI Really Be the Goal of Artificial Intelligence Research?

Eryk Salvaggio, a visiting professor and tech policy expert, along with AI ethicist Borhane Blili-Hamelin and Margaret Mitchell, chief ethics scientist at Hugging Face, dive into the controversial pursuit of artificial general intelligence (AGI). They question whether AGI should remain the ultimate goal, arguing it may detract from vital ethical discussions and genuine societal benefits. The conversation highlights the danger of mainstream consensus around AGI, advocating for diverse perspectives and practical applications in AI that genuinely address community needs.
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15 snips
Jun 5, 2024 • 1h 1min

Episode 33: Much Ado About 'AI' 'Deception', May 20 2024

Machine learning researcher Margaret Mitchell joins the hosts to discuss 'AI deception', critiquing the misleading framing of AI systems, the risks of advanced AI capabilities, and ethical considerations in AI email communication. They also explore the impact of AI-generated text on human interactions and legal risks in using AI tools for employee handbooks.
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9 snips
May 17, 2023 • 32min

In Machines We Trust: When AI hears a problem

Hidden away in our voices are signals that may hold clues to how we’re doing, what we’re feeling and even what’s going on with our physical health. Now, AI systems tasked with analyzing these signals are moving into healthcare.We meet:Lina Lakoczky-Torres, student at Menlo CollegeAngela Schmiede, Vice President of Menlo College.Grace Chang, CEO of KintsugiDavid Liu, CEO of Sonde HealthLiam Kaufman, former CEO of Winterlight Labs. Margaret Mitchell, Chief Ethics Scientist of Hugging FaceBjoern Schuller, professor of artificial intelligence at Imperial College LondonCredits:This episode was reported by Hilke Schellmann, produced by Jennifer Strong, Emma Cillekens and Anthony Green, edited by Mat Honan and mixed by Garret Lang with original music by Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett. Special thanks to the Knight Science folks at MIT for their support with this reporting. 
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Apr 17, 2025 • 1h 3min

"AI" Agents, A Single Point of Failure (with Margaret Mitchell), 2025.03.31

Margaret Mitchell, a machine learning researcher and chief ethics scientist at an AI startup, joins the hosts to dissect the buzz around AI agents. They discuss the limitations and risks of relying on these so-called assistants, highlighting ethical concerns about accountability in AI deployment. The conversation critiques the hype surrounding AI solutions in industries like marketing and defense, while also exploring the absurdity of 'vibe coding' and the implications of AI in mental health therapy. It's a thought-provoking mix of skepticism and humor.