Empowering the future of work : how AI transforms employee engagement and retention https://
linkedin.com/posts/nicolasb
abin_ai-employeeengagement-retentionstrategies-activity-7191073828599406592-T_z6
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#ArtificialIntelligence #innovation #technology #humanressources #employee #engagement #retention @PawlowskiMario @CurieuxExplorer @Shi4Tech @JolaBurnett @jblefevre60
ETHICS
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AI Transforms Employee Engagement and Retention Strategies
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EU Probes Meta for DSA Compliance: Deceptive Ads and Disinformation
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This probe was filed under the Digital Services Act, the EU's landmark digital content law. For Meta, the EU suspects its platforms are incompliant with obligations re: deceptive ads, disinformation campaigns, and coordinated inauthentic behavior.
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IVèS Launches IRIS, Conversational Assistant in Sign Language
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[#Article] AI and #inclusion: IVèS unveils IRIS, the first conversational assistant in sign language https://actuia.com/actualite/ia-et-inclusion-ives-devoile-iris-le-premier-assistant-conversationnel-en-langue-des-signes/
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AI Impact on Jobs Mindshare Relationships and Human Connection
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Will AI replace jobs? I have a better question – have you been kind to yourself or someone else today? AI is already replacing mindshare and using our data and agency to such a degree it’s harming relationships. Not all AI. But a lot of it. Esp the narrative behind it.
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Responsible AI: Compliance and Security Tactics Explained
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Unlocking ResponsibleAI ’s Potential – Top Compliance and Security Tactics Watch Now: http://
bit.ly/AIGovSecurity Join me, Head of @Infosys #ResponsibleAI Syed Ahmed & host @Ronald_vanLoon as we cover: #AI 's Double-Edged Sword #MachineLearning Security -
Beware Those Claiming to Have All Answers
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Through experience, we learn that those who claim to 'have it all figured out' are either ignorant or trying to sell us something!
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Strong to Weak Alignment: A New Perspective on AI Safety
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tired: weak to strong alignment wired: strong to weak alignment
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AI Risks Repeating Web3’s Mistakes: Hype Over Utility
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I watched Web3 drown in its own hype. Now I wonder if I'm seeing warning signs in AI. We're falling into the same traps: 1. Prioritizing flashy tech over real-world utility 2. Unclear terms (e.g. “AI agents”) 3. Building for other insiders rather than the mainstream
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Models Cannot Accurately Answer Questions About Themselves
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I don't trust models to answer questions about themselves accurately
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System Prompt Reliability vs Architecture Truthfulness in AI
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It's interesting to me because I trust the system prompt to report a truthful cut-off date more than I trust it to provide a truthful architecture