Why Collaborating with Regulators Ensures #AIEthics by @antgrasso #ArtificialIntelligence #MachineLearning #ML
ETHICS
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Anthropic’s double standard on AI security and export controls
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Anthropic: Red alert! Our models are a major security risk!
Also Anthropic: How could the government slap export controls on them? Outrageous! -
Stanford HAI director Fei-Fei Li featured on FastCompany cover explaining world models
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HAI Founding Director @drfeifei is featured on @FastCompany
's cover, explaining "world models" – AI that understand physical space and real-world dynamics. Rooted in human-centered philosophy, she explains what makes it different and what's at stake: -
AI may never be jailbreak-proof nor hallucination-free
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And AI systems may never be jailbreak-proof or hallucination free. And individual queries may matter less than a bad actor breaking a problem down into pieces and feeding it through multiple projects and prompts. And AIs themselves may change behavior unpredictably with context.
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Complexity of AI Regulation: Models Are Just One Piece
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Bright regulatory lines for AI are inherently complicated because models are just a piece of the puzzle: harnesses can make models more capable, a less capable open system may be more or less riskier than a more capable closed one, skills/connected systems change risk levels, etc
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New video: analysis of political conflict and Fable 5 blockade
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NEW VIDEO in the LAB! Today, analyzing the political conflict that led to the first government blockade of a frontier model, in this case, Fable 5. Reasons, consequences, and my opinion. All in the video. Link below
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Concern about a possible leak of Claude and Codex projects
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Read carefully. What worries me most is a possible leak one day of the projects worked on in the Claude and Codex environments.
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AI moonshots for social good: universal tutors, co-scientists, remote medical help
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It is a good time for moonshots. AI has reached a level where there are transformative projects that could result in huge social good, but require public R&D, consensus & transparency to pull off. Examples: universal tutors, co-scientist/replication systems, remote medical help.
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AI models as weapons in new global power struggle
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I believe many people still do not realize that we are in the midst of a new global power struggle over the future. The fact that China’s access to Claude alone is viewed as an immense risk to national security (!) demonstrates the kind of weapons these models represent. The
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Learnrights proposes creator compensation for AI training
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How ‘learnrights’ would compensate creators for #AI model training
by Brian Eastwood @MITSloan Learn more: https://
bit.ly/4ur8bqh #GenerativeAI #ArtificialIntelligence #MachineLearning #ML