Information Governance

Information governance is the set of policies, roles, and controls an organization uses to manage its data across its lifecycle, from creation and classification through retention, access, and disposal. For AI governance, it matters because AI systems are only as defensible as the data that trains, feeds, and is generated by them, so questions about where data came from, who may use it, and how long it must be kept all apply directly to AI deployments. Compliance and legal teams rely on it to meet records-retention rules, privacy obligations, and litigation hold requirements that increasingly cover prompts, model outputs, and training datasets.

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Corporate PolicyUK2026-10-23

NHS 505,000-User Copilot Rollout Sets a Healthcare AI Governance Benchmark

NHS England is expanding Microsoft 365 Copilot access to up to 505,000 clinicians and support staff after a 30,000-person trial. The deployment is limited to administrative tasks and governed by explicit standards covering clinical safety, information governance, cybersecurity, interoperability, and real-world evaluation. Human oversight and transparency are stated as non-negotiable conditions.

NHS Microsoft healthcare AI human oversight information governance public sector AI UK AI deployment standards