A @Stanford study reveals that leading AI companies are pulling user conversations for training. Should users of AI chatbots worry about their privacy?
ETHICS
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J2C Certification: New Prestigious Recognition for TMLR Papers
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To be eligible, papers must receive one of the following certifications: Featured, Outstanding or the new J2C Certification.
We expect J2C Certifications to be a selective and prestigious recognition, with only about 10% of accepted TMLR papers to receive it. -
LLM Research Neglects Non-Adopters of ChatGPT
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As of June 2025, 66% of Americans have never used ChatGPT. Our new position paper, Attention to Non-Adopters, explores why this matters: LLM research is being shaped around adopters, leaving non-adopters’ needs and key research opportunities behind. arxiv.org/abs/2510.15951
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Taleb’s perspective on ChatGPT capabilities and limitations
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yes I agree with Taleb, but cute to see what chatGPT thinks anyway
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AI Pioneers Discuss Generative Frictions and AI’s Future
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ICYMI: At a recent seminar, AI pioneers Lucy Suchman and Terry Winograd discussed AI's past and present, exploring the lessons generative frictions offer as we navigate the challenges and possibilities of AI. Watch the recording here: https://
hai.stanford.edu/events/generat
ive-frictions-a-conversation-on-ai
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Balancing AI Tool Safety with Practical Usefulness via MCP
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Re: lethal trifecta, I think the best way there is to curate tools where you trust both the author and the potential space of responses. (we do that via MCP gateway implementations) 100% protecting against the lethal trifecta often puts too many limits and reduces the usefulness
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Security Safeguards for AI Systems Like Locks
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I do agree that it's not a 100% fool-proof solution, but I feel like we should at least have some safe-guards: the analogy I'd use is that many locks can be picked (with enough effort/time), but that doesn't mean we should stop using locks completely.
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Debating AI Topics Without Clear Definition Consensus
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It's amazing how the topics can be debated without there being much of a consensus on what's being debated…
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Technology’s impact on humanity and responsible integration
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Humachineology and humachinekind studies provide us with an understanding of how technology shapes us and how to responsibly integrate it into our lives.
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Deepfakes Threat: Technology, Entertainment, and Ethical Implications
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The Growing Threat of Deepfakes: Entertainment vs. Truth 🤔🔍 In an age where misinformation spreads faster than ever, #deepfakes have become a major concern, especially on social media. The #technology is advancing so rapidly that it’s getting harder to distinguish between what’s real and what’s fabricated. But here's the most alarming part: we enjoy these fakes. 🎙️ In this episode of Human X Machine, @TamaraMcCleary joins Christopher Lomas to discuss the dangers of deepfakes and the ethical implications they bring. They explore: 🔹 How deepfakes thrive on social platforms, going viral despite their deception 🔹 The challenge of detecting deepfakes as they become increasingly sophisticated 🔹 The willingness of people to overlook the truth for the sake of entertainment and sensationalism 🎧 Listen to the full conversation here: Apple: podcasts.apple.com/gb/podcas… Spotify: open.spotify.com/episode/6ZW… #AIEthics #TechForGood #SocialMediaRisks #DigitalDeception
→ View original post on X — @tamaramccleary, 2025-10-20 14:07 UTC