Washington Is Watching AI

Washington’s focus on artificial intelligence (AI) includes competing priorities: accelerating innovation, protecting communities, strengthening national security and preparing workers. The White House’s March 2026 legislative framework asks Congress to address these issues through a national approach. Recommendations, however, are not enacted legislation. Washington still has to turn its intentions into requirements. The Economist brought this topic to us in their article, “The debate over AI has taken over Washington.”

Should organizations prepare anyway? And how? Waiting for political certainty seems like an excellent strategy for being spectacularly unprepared.

Let’s start by identifying where AI is already being used, including tools employees adopted without formal approval. Document what information enters those systems, who can access it and which decisions depend on their output. Assign responsibility for monitoring policy developments and translating actual requirements into operational changes.

Most critically, strengthen data governance. Establish clear ownership, consistent definitions, access controls, quality checks and records showing where information originated and when it was updated. AI drawing on outdated policies, contradictory records or poorly labeled information can produce polished nonsense with impressive confidence.

Good governance improves the foundation; it does not guarantee accurate answers. Organizations must also test outputs, check sources and require knowledgeable human review when consequences matter. NIST’s voluntary AI Risk Management Framework provides a useful starting point for organizing that work.

Train employees to recognize limitations, protect sensitive information and report errors. Review vendor terms and establish procedures for correcting failures.

Whether Washington delivers sweeping legislation, narrower rules or another round of announcements, these preparations retain their value. Reliable AI requires reliable information and accountable people.

Keeping data safe and whole is important. Making data accessible is something we know a little about. Whatever you are searching for, it is important to have a comprehensive search feature and quality indexing against a standards-based taxonomy.

Stay current on the ideas shaping data and AI. Subscribe to Taxodiary for insights from the Access Innovations team.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, where smarter AI starts with structured, meaningful, well-governed knowledge.