Read more here: https://
wired.com/story/google-n
o-tech-for-apartheid-project-nimbus-israel-gaza-protest/
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POLICY
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Google Workers Protest Nimbus AI Project Israel Gaza
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Tech Workers’ Historic Stand Against Weapons Development
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This is a historic tech action.
— Meredith Whittaker (@mer__edith) 16 avril 2024
A long proud tradition. From Polaroid workers rejecting their work contributing to S Africa's passbooks, to the MIT research strike where scientists refused to work for warfare; to Geoff Hinton relocating to Canada to avoid building US weapons. https://t.co/CiBi0SoDxkThis is a historic tech action. A long proud tradition. From Polaroid workers rejecting their work contributing to S Africa's passbooks, to the MIT research strike where scientists refused to work for warfare; to Geoff Hinton relocating to Canada to avoid building US weapons.
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U.S. Falls Behind in Global AI Innovation Race
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Thank you for the context. Sorry to see other nations out innovating the U.S. in this domain.
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OpenAI’s vague data usage policies raise transparency concerns
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OpenAI have been infuriatingly vague about what "using ChatGPT conversations to help improve our models" actually means They have various opt-out options even for free usage these days but it's hard to keep track of where they are and how they work
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Lack of transparency in AI model training data usage
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Right, the most frustrating thing about this is that the complete lack of of transparency about how training works (and how the data is used) means it's impossible to confidently state how it all really works
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Regulated Industries Legal Obligations for AI Training Data
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And of course:
1) Regulated industries & service firms have legal obligations that supersede these agreements (though some systems are HIPAA compliant, etc.)
2) Even if your data is used for training, it probably couldn't be used to reconstruct the original document in any case -
LLM Privacy Concerns: Training Data Usage and Enterprise Trust
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Privacy still comes up as a big issue when I talk to firms about AI. But the privacy risk is if your inputs are used as training data. Of course, all the big LLMs have plans where they agree not to do that. People are suspicious of LLMs in way they aren't for other cloud apps.
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Algorithmic Transparency Essential for Protecting Democratic Institutions
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@vonderleyen @pierrepinna @ipfconline1 We need algorithmic transparency on platforms to prevent democracy being dismantled brick by brick.
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First Monday Issue on AI and Power Scholarship
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This whole issue looks SO INCREDIBLY GOOD! If you care about AI, power, AI and Power, good scholarship, etc. https://
firstmonday.org/ojs/index.php/
fm/index
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Politics of AI Power: Precision Matters in Partisan Debates
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These powers *are* politics. Politics doesn't stop and end with partisan side-taking. And if we can't be precise then we can't win.