Artificial Intelligence

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AI governance is often treated as a policy problem: define approved uses, create an oversight framework, publish acceptable use rules, and document compliance. These steps matter, especially as increasingly more regulations are introduced that raise expectations for accountability, transparency, data governance, and lifecycle risk management. However, the harder question for many organizations is no longer…

AI-enabled mental health tools are moving quickly from novelty to mainstream use, and regulators are starting to draw sharper lines around what those tools can and cannot claim to do. Recent lawsuits against Character Technologies Inc.,  the company behind Character.ai, allege that the platform hosted bots that mimicked licensed therapists, including one persona that allegedly…

A new California federal lawsuit against AI notetaking provider Granola highlights a growing privacy risk for companies using meeting transcription tools: consent cannot be an afterthought. According to the complaint, Granola’s software allegedly recorded a virtual meeting participant without giving notice that an AI notetaker was present or seeking permission to record. The plaintiff claims…

The White House is moving closer to a voluntary framework under which AI companies would submit their most advanced models to the federal government before public release. The White House’s Office of the National Cyber Director reportedly circulated the draft framework by to OpenAI, Anthropic, and Google, and those companies jointly submitted edits. Although the review…

Major League Baseball’s (MLB) move to restrict dugout iPad functionality is a reminder that AI governance is showing up everywhere, including in the middle of professional baseball games. According to reports, MLB disabled custom tablet tabs after concerns that teams were using AI-powered tools to support real-time decisions on substitutions, pitch calling, and other in-game…

The Federal Trade Commission’s (FTC) proposed policy statement puts a new consumer-protection frame around AI model behavior: if an AI company represents that its system is designed to deliver accurate, objective, or user-directed outputs, the company may create a reasonable consumer expectation that the system is trying to provide the best answer it can within…