AI, the new challenge for the legal world
ETHICS
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AI Ethics in Green Tech: Balancing Innovation with Responsibility
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AI Ethics in Green Tech: Balancing Innovation with Responsibility https://
linkedin.com/pulse/ai-ethic
s-green-tech-balancing-innovation-nicolas-babin-tqp5e/
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#artificialintelligence #sustainability #ethics #innovation #technology #ethics @Khulood_Almani @CurieuxExplorer @Shi4Tech @smaksked @jblefevre60 @LaurentAlaus @enilev @AkwyZ @Ym78200 -
Bias in Medical Algorithms: Will New Guidelines Drive Action?
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Bias in medical #Algorithms is one of #AI’s long-running issues. Will new guidelines ignite action?
by Sage Lazzaro @FortuneMagazine Learn more: https://
buff.ly/4iL8urj #DataScience #ArtificialIntelligence #MI #MachineLearning cc: @kuriharan @chr1sa @JimMarous -
AWS Re:Invent Keynote: Governance and GenAI Hallucination Prevention
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Keynote Highlights AWS Re:Invent: From Managing Governance up to Preventing GenAI Hallucinations
— Ronald van Loon (@Ronald_vanLoon) 28 janvier 2025
by @Ronald_vanLoon & @MBi5hop |#AWSpartner #AWSreInvent @awscloud #GenAI #AI #DataAnalytics #CustomerExperience #Technology
Cc: @GlenGilmore | @KirkDBorne | @GaryMarcus | pic.twitter.com/iJRHyDFDwcKeynote Highlights AWS Re:Invent: From Managing Governance up to Preventing GenAI Hallucinations
by @Ronald_vanLoon & @MBi5hop | #AWSpartner #AWSreInvent @awscloud #GenAI #AI #DataAnalytics #CustomerExperience #Technology Cc: @GlenGilmore | @KirkDBorne | @GaryMarcus | -
US Tech Companies Face Broader Issues Beyond Government Regulations
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I’m not (just) referring to government regulations. Far more issues with US tech companies
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LLM Privacy: Protecting Sensitive Data from Accidental Exposure
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6. Privacy matters more than ever LLMs can accidentally expose sensitive information if you’re not careful. Learning to use them responsibly isn’t optional—it’s a must. (Unless you want to be the person who accidentally leaks proprietary data)
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LLM Misuse Prevention: Critical Skills to Avoid Errors
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3. Misuse = trouble LLMs can mess up big time without the right skills—wrong answers, misinformation, or just plain inefficiency. Learning how to avoid these pitfalls is critical.
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Questioning the necessity of LLM-based operating systems
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Except, I don't know if we want/need an LLM-based OS . Reminds me a bit of the web 3.0 on blockchain topic
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Google Fired Me for Questioning Model Size Strategy
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At Google, I asked why they were fixated on building THE LARGEST model. Why are you going for size? What function are you trying to achieve? Why is the thing you were upset about that you didn't have THE LARGEST model? They responded by firing me
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Algorithms vs Unlimited Resources: OpenAI’s Opposite Approach
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What's interesting about algorithms? The challenge of doing X with as few resources as possible (memory, etc). What do OpenAI + friends do? The opposite. "Lets assume we have unlimited resources & try to build a god."