UK Publishes AI Risk Management Toolkit for Project Teams

The UK Department for Science, Innovation and Technology published an AI Risk Management Toolkit on 8 September 2026 for organisations that design, operate, procure or deliver products and services using artificial intelligence.

Risk reviews are designed to continue throughout the lifecycle

The guidance treats risk assessment as an ongoing process rather than a one-off approval. Teams are advised to review risks from the definition of a use case and data selection through development, deployment, operation and eventual retirement of an AI system.

The toolkit covers risk identification and assessment, treatment, monitoring and reporting. A downloadable workbook is intended to help organisations record the risk, potential impact, planned control, responsible owner and review arrangements in one place.

Nine broad risk areas are identified

The framework lists financial exposure; legal and regulatory compliance; transparency and explainability; fairness and discrimination; accountability and governance; contestability and redress; technical robustness; security; and effects on people and the environment.

Teams are encouraged to score likelihood and impact on a scale of one to five, define organisational risk appetite and prioritise higher-scoring issues. The guidance also recommends multidisciplinary oversight involving technical, legal, security, governance and operational specialists.

The toolkit is guidance, not a new law

The publication provides a practical management structure but does not by itself create a separate statutory obligation. Organisations must still apply the laws and sector rules relevant to their activities, data and users.

The department says the approach can be adapted to organisations of different sizes. Documenting why a risk is accepted, reduced, transferred or avoided is presented as central to accountability and later review, particularly as models, data, uses and regulation change.

Read the Turkish report