Read more here: https://
wired.com/story/google-n
o-tech-for-apartheid-project-nimbus-israel-gaza-protest/
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ETHICS
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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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Why LLMs Are More Persuasive Than Humans Study
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We know that LLMs are more persuasive than most humans, this study offers some tentative reasons why that may be true: LLMs produce arguments that are MORE morallly charged than humans do, and which require more cognitive work from humans to understand https://
arxiv.org/pdf/2404.09329
.pdf
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Madhumita Murgia discusses CODE DEPENDENT human agency and AI
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I’ll be in Cambridge on Saturday, in conversation with @ginasue about my book CODE DEPENDENT and its themes of human agency and power in an age of
AI – come say hi! Details here: https://
cambridgeliteraryfestival.com/events/madhumi
ta-murgia/
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Insurance AI Integration: Ethics, Skills, and Workforce Adaptation
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Moreover, insurance organizations are leveraging AI, ensuring ethical integration, and fostering a workforce that's adaptable, skilled, and ready for the evolving landscape of tech-infused business models.
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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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Common Misconceptions About How AI Models Learn
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I wonder how common it is for people to confidently hold an inaccurate idea of how AI models work where they believe that anything they show the model is instantly memorized and added to its "knowledge" of the world
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AI as Software Process Not Conscious Entity Anthropomorphism
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I think a lot of the problem is that people see AI as an entity, rather than a software process that runs on text to produce an output. Entities remember what they see, even if they pretend they are keeping secrets. Anthropomorphism can be a problem at times!
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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