PrivacySignal
AI Governance

Only 26% of enterprises say AI governance keeps pace with deployment, Smarsh study finds

MarketScale · · International · AI Governance

A study by Smarsh found that only about one in four enterprises believes its AI governance practices are keeping up with the pace at which it is deploying AI tools. The findings point to a widespread gap between how fast organizations are adopting AI and how well they are managing the risks that come with it.

Why this matters: Most companies are running AI faster than they can manage it. That gap is not abstract. It means AI tools are making decisions, handling data, and shaping workflows before anyone has figured out who is accountable when something goes wrong. The people most exposed are often employees and customers who never got a say in any of it. Governance is not paperwork. It is the mechanism that lets you answer basic questions: what is this system doing, who approved it, and what happens if it fails.

Who should care: AI governance · Lawyers · Administrators · General readers · Policy

This summary is AI-assisted and may contain errors. It is an original briefing to help you gauge significance quickly — not a reproduction of the source. Always read the linked original before relying on it. See our methodology.

Analysis

All analysis →

Weekly Editorial Analysis from Experts and Editors

Related stories

News
Nextgov/FCW · · US Federal

The US military gets its own ChatGPT today

After months of security testing, Pentagon adds an OpenAI product to the list of AI tools approved for unclassified work.

Who should care: General readers · AI governance · Policy

AI Governance
G GZERO Media · · International

Lack of AI governance is a real threat

Lack of AI governance is a real threat GZERO Media

Who should care: AI governance · Lawyers · Administrators · General readers · Policy

#ai-governance#ai Read original →
News
EFF — Deeplinks · · International

EFF to Courts: Don’t Rewrite Copyright Over AI Hype

The Electronic Frontier Foundation has urged courts to resist pressure to reshape copyright law in response to AI, drawing a parallel to the 1980s VTR panic when rightsholders made sweeping legal arguments that the Supreme Court ultimately rejected.

Who should care: General readers · AI governance · Policy

AI Governance
S Spencer Fane · · International

When the Models Move Faster Than the Rules: Inside America’s AI Policy Crisis

U.S. AI policy is struggling to keep pace with rapid advances in AI model development, leaving a governance gap between what the technology can do and what existing rules actually cover.

Who should care: AI governance · Lawyers · Administrators · Compliance · General readers · Policy

#ai-governance#regulation#ai Read original →