AI Governance

The White House has released a set of legislative recommendations outlining how Congress should approach artificial intelligence policy, offering a framework that spans child protection, economic infrastructure, intellectual property, and federal-state coordination. The March 2026 proposals stop short of introducing a single, overarching regulatory regime, instead setting out a series of targeted measures intended to guide AI development and oversight across sectors.

AI isn’t waiting for governance to catch up and that gap is quickly turning into one of the most serious risk challenges organizations face today. As companies push ahead with more advanced, increasingly autonomous AI systems, many are doing so without the controls needed to manage them effectively. What was once a manageable oversight issue is becoming something more structural. Agentic AI is beginning to operate beyond traditional human decision loops, and the longer governance lags behind, the harder it becomes to rein it back in.

In my most recent article on my site, I raised a concern that should not be easy to dismiss. The term “agentic AI” is being used far too loosely across the GRC market, often applied to capabilities that, while useful, fall well short of anything resembling true autonomy or orchestration.

Artificial Intelligence has officially entered the chat—and the conference room, the Slack channel, and, yes, the committee meeting that could have been an email. What started as a shiny IT initiative has now turned into a full-blown organizational identity crisis. Suddenly, everyone is asking the same questions: Who owns AI? Who governs it? Who explains it when it breaks? And, most importantly, does it get a seat at the table—or just a really big monitor in the back? The truth is, AI isn’t just another tool. It’s an organizational shapeshifter. It changes how work happens, who makes decisions, and how people engage with each other. It doesn’t just automate tasks; it rearranges responsibility. And that means the org chart—that sacred map of power, politics, and parking privileges—is about to look very different.

In a rare show of coordination, 61 data protection authorities from across the globe have issued a joint statement warning that AI systems capable of generating realistic images and videos of real people are creating a fast-moving and deeply personal category of risk. The concern is not just about misinformation or synthetic media in the abstract. It is about harm that lands squarely on individuals, often without their knowledge and increasingly without meaningful recourse.

The Spanish Data Protection Agency has unveiled a new initiative titled “Deepfakes are no joke,” anchored by an educational video designed to show just how easily AI-generated content can blur the line between reality and fabrication. The video walks viewers through a simulated scenario in which a seemingly authentic audiovisual clip is created from a single photograph, before revealing that the content is entirely artificial and produced with the subject’s consent.

The European Parliament has voted overwhelmingly to strengthen protections for copyrighted works used in artificial intelligence systems, signaling growing concern among lawmakers that generative AI is reshaping the economics of creative industries without clear rules for compensation or consent.