Government · Government · UK Government
AI Risk Management Toolkit
Outline · 279 paragraphs
- AI Risk Management Toolkit: guidance¶1
- Purpose of the toolkit¶3
- About AI risk assessment tools¶11
- Using these tools¶25
- AI risk identification¶40
- AI risk appetite¶55
- Quantifying AI risks¶59
- Quantifying risk likelihood¶63
- Historical data analysis¶68
- Model analysis¶70
- Expert judgement¶72
- Experimentation and monitoring¶74
- Quantifying risk impact¶76
- AI risks and treatment options¶79
- Additional resources¶87
- AI Standards and the AI Standards Hub¶88
- Appendix 1: Risk Identification Questions¶91
- Risk Category: Financial¶92
- Risk Category: Legal and regulatory compliance¶111
- Risk Category: Appropriate transparency and explainability¶127
- Risk Category: Fairness¶154
- Risk Category: Accountability and governance¶180
- Risk Category: Contestability and redress¶195
- Risk Category: Technical robustness¶208
- Risk Category: Security¶228
- Risk Category: Environment and People¶256
- Appendix 2: Risk Appetite Level Definition¶270
- Appendix 3: List of potential risk impacts¶272
- Impact Categories¶273
- Table setting out impact scores for each quantified impact.¶275
- Impact Categories¶276
- Appendix 4: Risk treatment suggestions¶278