The reviewers are responsible for the reviews regardless of the tools they choose to use.
The problem is accountability.
That's why I've been an advocate of open reviews, and of removing the exclusive relationship between papers and reviews. Speaking of which, the destruction by
ETHICS
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Reviewer Accountability and Open Scientific Review Systems
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Intellectual Effort in Research Labs and Knowledge Advancement
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(People often undervalue the intellectual effort involved in doing this stuff well. I think “research lab” is the right way to think about a small group of professionals attempting to advance the state of human knowledge in a narrow sub-specialization.)
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Do We Hear Known Voices Reading Familiar Text?
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When you read something written by someone you know, do you hear their voice reading the words?
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AI-Made Horrors Beyond Comprehension: Future Risks
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If you think that the man-made horrors beyond comprehension are scary, just wait to see what the AI-made horrors beyond comprehension will look like.
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100 AI Scientists Establish Singapore Consensus Trustworthy AI
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100 leading AI scientists map route to more 'trustworthy, reliable, secure' AI The landmark Singapore Consensus comes at a time when the giants of generative AI – such as OpenAI – are disclosing less and less to the public. https://
zdnet.com/article/100-le
ading-ai-scientists-map-route-to-more-trustworthy-reliable-secure-ai/
… @Yoshua_Bengio -
FaceAge: AI Tool Estimates Cancer Survival from Facial Photos
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Mass General Brigham’s researchers introduced FaceAge, an AI tool that can estimate cancer survival outcomes with facial photos The AI estimates biological age from photos, helping teams guide their treatment levels accordingly
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OpenAI Releases HealthBench for Evaluating AI in Healthcare
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Et si vous aviez un médecin de classe mondiale… dans votre poche, 24h/24, gratuitement ? C’est la promesse de l’IA dans la santé. Mais ici, une seule erreur peut coûter une vie. C’est pour ça qu’OpenAI vient de publier HealthBench, un nouveau benchmark open-source qui évalue
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Larger LLMs Easier to Control Than Smaller Models
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Lots of fear out there about AI getting out of control as models get bigger. I think it's actually the opposite. The bigger LLMs get, the easier they are to control. Just a few gens ago, they were much harder to steer, stylize, mold. Scale doesn't hurt control – it helps.
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Google faces legal liability over AI due diligence risks
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"Three international law experts who spoke with The Intercept said that Google’s awareness of the risks and foreknowledge that it could not conduct standard due diligence may pose legal liability for the company."