Gartner Says AI Governance Comes Before AI Hype

MIT AI Risk Initiative

AI is moving faster than most organizations can govern it. That is the real warning behind Gartner’s latest comments on artificial intelligence. Companies are under pressure to deploy generative AI, launch agents, automate workflows, and show quick business value. Executives want proof. Boards want strategy. Vendors are pushing new tools. Employees are already experimenting with […]

AI Governance Tools

AI governance tools are becoming necessary because AI is spreading faster than most companies can track it. That is the real issue. Most companies do not have one neat AI system sitting in one department with one owner and one approved use case. They have AI scattered everywhere. HR has AI inside recruiting software. Marketing […]

AI Inventory: The First Step in AI Governance

Data Embassy

Most companies do not have an AI governance problem because they built one powerful artificial intelligence system. They have an AI governance problem because artificial intelligence is already scattered across the business and nobody has a complete list of where it lives. That is the real starting point. Before a company can comply with the […]

NIST AI Risk Management Framework

The NIST AI Risk Management Framework launched in January 2023 with language so carefully neutral it could have been written by committee — because it was. Two years later, something unexpected has happened: it has quietly become the closest thing the United States has to a de facto AI governance standard, cited in state legislation, […]

Shadow AI Is a GLBA Safeguards Rule Problem

GLBA Shadow AI Issues

If you work at a financial institution you will want to get your privacy compliance and AI governance posture in place because the FTC is actively looking for violations. Your employees are not trying to create a compliance crisis. They are trying to do their jobs faster. But the AI tools they are reaching for […]

Privacy Regulation in the Age of AI: Experts Call for Radical Shift from Consent to Institutional Accountability

In March of this year, Carnegie Mellon University’s Block Center for Technology and Society convened a group of interdisciplinary experts to grapple with a pressing question: how should privacy regulation evolve as artificial intelligence reshapes the data landscape? The discussions, summarized in a recent center publication, paint a sobering picture of a regulatory system ill-equipped […]