September 30, 2026 - Governance Docs

How to plan AI impact assessment mitigation: technical, organizational and procedural safeguards, owners and dates, evidence and residual…

How to run an AI impact assessment in healthcare: patient safety, bias across populations, consent and privacy, clinician…

How to run an AI impact assessment for credit scoring: identifying harms, testing for unfair outcomes, explaining decisions,…

How to run AI impact assessment monitoring: tracking real-world impacts after launch, choosing indicators, setting review triggers and…

How to rate severity in an AI impact assessment: defining harm scales, weighing scale, reversibility and vulnerability, calibrating…

How to run risk workshop facilitation: planning, invitations, agenda, techniques for surfacing risks, agreeing ratings and closing with…

How to run risk scenario analysis: choosing scenarios, building narratives, estimating impact and likelihood, testing controls and using…

How to build a risk taxonomy for enterprise risk management: choosing categories, defining levels, writing clear definitions, mapping…

How the three lines model works in enterprise risk management: roles of the governing body, management, risk and…

How to manage AI data quality risk: assessing representativeness, labelling, provenance, bias and drift in training and input…

How to build AI incident management: defining AI incidents, detection, triage, containment, reporting duties, root cause analysis and…

How to approach AI risk scoring: rating likelihood and severity of harm, adjusting for autonomy and scale, setting…

Day: September 30, 2026