As AI tools become embedded in editorial workflows, an informal "use common sense" approach to governance becomes inadequate. An AI governance policy establishes clear, enforceable rules that protect journalistic integrity, manage legal risk, and provide staff with the guidance they need to use AI tools confidently.
Core Policy Elements
A complete AI governance policy should address: 1. Permitted uses: Which AI tools are approved and for which tasks (research, drafting, fact-checking, translation, SEO). 2. Prohibited uses: Explicit prohibitions (e.g., no AI generation of direct quotes, no AI-generated content without human review). 3. Disclosure requirements: When and how to disclose AI use to readers. 4. Data handling: Which articles or documents may not be processed by external AI tools (unpublished investigations, source communications). 5. Error reporting: Procedure for escalating and correcting AI-assisted errors. 6. Training requirements: Mandatory AI literacy training before access to AI tools.
Enforcement and Review
Policy without enforcement is culture. Designate an AI policy lead (typically a senior editor or digital director) responsible for annual review and incident response. Build compliance into workflow tools — require journalists to check an AI disclosure checkbox before submitting AI-assisted articles to the CMS. Schedule a mandatory policy review every 6 months given the pace of AI development.