Most agencies adopted AI faster than they governed it. This article outlines five essential components for effective AI governance: an approved-tools register, data and confidentiality rules, a client-disclosure standard, named ownership, and a review cadence. Implementing these measures ensures responsible AI use and mitigates risks, preventing costly retrofits after incidents.
This article reconstructs the timeline of the OpenClaw/Hermes detection controversy, detailing Anthropic's policy shift, the discovery of unexpected billing charges, and the eventual reproduction of the bug.
Pope Leo XIV's first encyclical, released May 25, 2026, places the Vatican inside the AI policy conversation alongside the labs, governments, and standards bodies. Communications leaders should read it as a structural shift — not a religious document.
AI Policy is the communications discipline that shapes how AI gets regulated. Not AI ethics. Not AI governance. Not the same as AI regulation. A definitive guide to the discipline behind AI's most contested decisions.
The AI policy landscape is rapidly evolving across multiple jurisdictions, including Brussels, Sacramento, and Washington. This playbook details the challenges and strategies for public affairs in this complex environment, emphasizing the need for adaptable approaches beyond traditional federal-focused strategies.
The eight national AI economies that matter most in 2026 — Israel, UAE, Singapore, Estonia, South Korea, the US, China, and the UK — ranked by infrastructure, talent, capital, regulation, and output.