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Artificial intelligence is pushing into sensitive territory and raising serious questions about safety, accountability, and unintended consequences. In this episode, Alan Shimel, Mike Vizard, Jon Swartz, Fred Wimot, Anne Ahola Ward, and Gina Rosenthal examine three developments shaping the AI conversation right now. The discussion opens with a warning from Anthropic that its AI tools and platforms could potentially be misused in a heinous chemical attack scenario. The panel explores what this means for AI governance, model safeguards, and real world risk management. Next, the gang looks at YouTube’s legal argument that it should not be classified as a social media platform in a landmark addiction case. What does this claim mean for regulation, platform responsibility, and the broader digital ecosystem? Finally, the group analyzes new research suggesting AI can predict career trajectories by analyzing LinkedIn social interactions. The conversation turns to privacy, bias, and what predictive analytics could mean for hiring and professional mobility. 🔍 Topics covered: AI safety and chemical misuse risks Platform responsibility and YouTube’s legal strategy AI career prediction and data ethics Governance, regulation, and accountability Subscribe for in-depth conversations at the intersection of AI, technology, and enterprise risk. #AI #Anthropic #ArtificialIntelligence #AIGovernance #Cybersecurity #YouTube #PlatformRegulation #LinkedIn #DataPrivacy #TechNews #TechstrongGang