So….pretty soon many people will realize saying “don’t hinder innovation” means they’ve allowed all human data and agency to be controlled by a tiny group of cultish people who don’t care about nature or the rest of us. So – thanks.
ETHICS
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LLMs Transform Management Consulting: Centaurs vs Cyborgs
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The future of management consulting is centaurs vs cyborgs thanks to LLMs
(From https://
papers.ssrn.com/sol3/papers.cf
m?abstract_id=4573321
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Debating the nature of intelligence in AI models
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Oui mais en fait c’est même pas au sens techno que ça me pose des questions. Ces modèles ont rien d’intelligent , ni conscience ni quoi que ce soit , c’est moins intelligent un rat qui peut creuser dans un mur pour chercher un fromage. Mais c’est au niveau de nous. De notre
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Reflections on the societal shift driven by AI
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Ca fait quelques semaine avec tout ce qui se passe sur l’#IA j’ai le sentiment qu’on arrive à un basculement civilisationnel assez fort. Peut être que je me fais brain. Mais j’ai tellement de réflexions sur notre rapport au réel, au libre arbitre, aux sentiments, aux échanges
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LLM Trustworthiness Risks in Critical Domain Deployment
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“Everyone seems to think LLMs are perfect and capable, compared with other models. That’s very dangerous, especially if people deploy these models in critical domains.” — @sanmikoyejo https://
hai.stanford.edu/news/how-trust
worthy-are-large-language-models-gpt
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Funders’ Guide to Preparing Society for Generative AI
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Philanthropy & generative AI: @SSIReview offers 10 things funders can do to help the existing field of tech-related nonprofits—and society at large—better prepare. https://
ssir.org/articles/entry
/10_ways_funders_can_address_generative_ai_now
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IRS Audit Bias Against Black Taxpayers Study Findings
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Read about the research: https://
hai.stanford.edu/news/irs-dispr
oportionately-audits-black-taxpayers
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AI Research Reveals IRS Racial Audit Disparities
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From research to real-world impact: HAI Faculty Dan Ho’s collaborative study revealing racial disparities in IRS audits led the agency to overhaul how it scrutinizes low-income Americans.
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Educational issues in machine learning and tech sector
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You're an example of the issues with education in machine learning and tech in general actually.
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AI Augments Humans But Companies Seek Fewer Employees
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Le problème de l'IA traité dans les médias c'est la demagogie : surtout ne pas faire peur et ne pas voir la réalité. Le discours c'est "L'IA augmente l'humain mais ne le remplace pas" Rappel : le but des entreprises est de créer de la valeur avec le moins de salariés possible.