When we autoregressively sample from a language model, we are, by definition, seeing its hallucination. Users may think otherwise only when the LLM’s “dream” just so happens be an output that is acceptable to the user.
ETHICS
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Adversarial Training Framework Improves LLM Robustness
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Drop by the #EMNLP2023 Google booth today at 12:30 PM to learn about an adversarial training framework that uses limited human adversarial examples to generate and scale more useful synthetic examples that improve LLM robustness to unseen attacks.
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Regulators Determining LLM Compliance Standards Questioned
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Can’t wait for these people to be in charge of determining if your LLMs are compliant!
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OpenAI Leaders Raised Concerns About Altman’s Behavior
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OpenAI leaders warned of abusive behavior before Sam Altman’s ouster https://
washingtonpost.com/technology/202
3/12/08/open-ai-sam-altman-complaints/
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Corporate Responsibility for Deceptive AI-Generated Video Content
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So it's the responsibility of the viewer to determine that they're lying to us and not the responsibility of the company that created the video? Sorry… But I whole-heartedly disagree with your take!
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AI Misrepresentation: Video Understanding Claims Under Scrutiny
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They gave the impression that the AI was responding to the video footage. I can understand the speeding up responses. But the implication that it was responding to the video footage it was seeing when it wasn't even close to doing that, feels wrong.
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Stanford HAI seeks Director of Policy and Society
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Join our mission to advance human-centered AI! @StanfordHAI is seeking a new Director of Policy and Society to lead our team in producing critical scholarship and convening global discussions on the intersection of technology, policy, and society. https://t.co/k03BD6mZFW pic.twitter.com/VnSakc6MD5
— Stanford HAI (@StanfordHAI) 8 décembre 2023Join our mission to advance human-centered AI! @StanfordHAI is seeking a new Director of Policy and Society to lead our team in producing critical scholarship and convening global discussions on the intersection of technology, policy, and society. https://
stanford.io/3TcWggX -
Google Gemini Demo: Concerns About Authenticity and Corporate Transparency
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I feel pretty duped by the Google Gemini video demo. I should have done more digging to understand better about how the demo was made… But normal people shouldn't have to do deep-dive research to determine the validity of a video Google puts out. https://
youtu.be/i6Dm4YhAe18 -
AI Governance and Democracy: EqualAI’s Policy Impact
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Just had a great meeting with @VogelMiriam of @ai_equal about how to make sure AI supports rather than undermines democracy. I'm inspired by the work that EqualAI has been doing with policy makers and on governance to make sure AI benefits everyone!
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The Overlooked Emotional Toll of AGI Development
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They always ask „when agi“ but never „how’s agi“