Could there be anything accounting for general exposure to images of people in daily life? E.g. magazines for women depicting women, magazines for men depicting women. Or forward facing images with eye contact?
SAFETY
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Managing AI Risks: Social Harms and Autonomous System Challenges
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9/ Managing AI Risks – a short paper outlining risks from upcoming and advanced AI systems, including an examination of social harms, malicious uses, and other potential societal issues emerging from the rapid adoption of autonomous AI systems.
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Detecting Pretraining Data from Large Language Models
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6/ Detecting Pretraining Data from LLMs – explores the problem of pretraining data detection which aims to determine if a black box model was trained on a given text.
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Responsible AI: Adapting to Societal Values and Norms
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Recognizing it's not a one-size-fits-all concept, responsible AI varies with societal norms and values, influencing AI deployment and development. Thoughts on Responsible AI?
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Super-intelligent AI versus extremism and stupidity priorities
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On top of this: – Super-intelligent AI can help solve extremism and stupidity – but I doubt that extremism and stupidity can solve super-intelligent AI Choose your priorities!
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Which AI-Related Threat Poses Greater Risk to Humanity?
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When you look at the current state of the world, which of these two poses a greater existential threat to humanity?
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Deepfakes and AI: Distinguishing Truth from Deception
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Rien dans cette vidéo n'est vrai ! Ceci est un clone de moi même (ou deep-fake) réalisé en quelques secondes à partir d'une IA. Le grand défi des années à venir sera de distinguer le vrai du faux dans un monde saturé de fake news et d'images trompeuses. Soyez vigilants. pic.twitter.com/DPSVgDh0BZ
— Rafik Smati (@RafikSmati) 28 octobre 2023Rien dans cette vidéo n'est vrai ! Ceci est un clone de moi même (ou deep-fake) réalisé en quelques secondes à partir d'une IA. Le grand défi des années à venir sera de distinguer le vrai du faux dans un monde saturé de fake news et d'images trompeuses. Soyez vigilants.
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Why Current Auto-Regressive LLMs Will Remain Fundamentally Limited
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One thing we know is that if future AI systems are built on the same blueprint as current Auto-Regressive LLMs, they may become highly knowledgeable but they will still be dumb.
They will still hallucinate, they will still be difficult to control, and they will still merely -
LLM Disclosure Requirements: Transparency and Accountability Standards
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Huge +1. Everything she says in this response should be listed as bullet points as disclosure for all LLM tools before every use.