AI risk and impact assessment
Risk and Assurance
What is AI risk and impact assessment?
Reviews purpose, data, affected people, accuracy, bias, security, oversight, vendors and law for a use case, scores likelihood and impact, and documents residual risk.
Where the frameworks place it: NIST AI RMF MAP and MEASURE; ISO/IEC 42005; EU AI Act Article 27.
The interview question it draws
Take me through an AI risk and impact assessment you would run for a hiring tool. What do you assess, and who signs?
A strong answer walks through the practice itself, with one real case, what you decided, and what the evidence showed afterwards.
Roles that ask for it
- AI Governance Analystcore, working knowledge
- Cybersecurity Risk Analystcore, working knowledge
- Governance Analystcore, working knowledge
- Privacy Analystcore, working knowledge
- AI Governance Managercore, depth expected
- AI Product Manager, responsible product editioncore, depth expected
- AI Risk Managercore, depth expected
- Ethical AI Specialistcore, working knowledge
- Responsible AI Leadcore, depth expected
- Chief Privacy Officer, AI privacy editioncore, depth expected
- Chief Risk Officer, AI risk editioncore, depth expected
- Third-Party AI Risk Analystrequired, working knowledge
- AI Privacy Engineerrequired, working knowledge
- AI Program Managerrequired, working knowledge
- AI Vendor Risk Managerrequired, working knowledge
- Third-Party Cyber Risk Managerrequired, working knowledge
- AI Regulatory Counselrequired, working knowledge
- Senior AI Compliance Analystrequired, working knowledge
- Chief AI Officerrequired, working knowledge
- GRC Associate (AI)preferred, working knowledge
Backgrounds that already carry it
- Privacy and data protection (shown by a work product)
A DPIA is an impact assessment; the AI version adds accuracy, bias and oversight.
Where it is taught and graded
14 graded topics, each passed by explaining it back. The first module of every program is free with a free account.
- EU AI Act Implementation Expert5 topics
- Module 1: Act Foundations and Current Timeline (1)
- Module 3: High-Risk AI Requirements: The Technical File (2)
- Module 7: Regulatory Interplay and Liability (1)
- Module 8: Post-Market Monitoring and Enforcement (1)
- Module 3: Business and Industry Representation (1)
- Module 6: Balancing AI's Good and Bad (1)
- Module 13: Legal Frameworks and Liability Navigation (1)
- Module 3: Ethical and Responsible AI and Operational Governance (1)
- Module 5: Critical Thinking and Context Engineering (1)
- Module 5: The EU AI Act: The Executive Map (1)
- Module 10: Evidence Engineering (1)
- Module 8: Governance and Responsible AI (1)
- Module 9: Risk, Resilience and Frontier AI (1)
Questions
- What is AI risk and impact assessment?
- Reviews purpose, data, affected people, accuracy, bias, security, oversight, vendors and law for a use case, scores likelihood and impact, and documents residual risk.
- Which AI governance roles ask for AI risk and impact assessment?
- 20 roles on the map name it, and it is core to AI Governance Analyst, Cybersecurity Risk Analyst, Governance Analyst, Privacy Analyst, AI Governance Manager, AI Product Manager, responsible product edition, AI Risk Manager, Ethical AI Specialist, Responsible AI Lead, Chief Privacy Officer, AI privacy edition, Chief Risk Officer, AI risk edition.
- How do I learn and prove AI risk and impact assessment?
- 14 graded topics teach it across 5 programs. Each topic is graded by explaining it back against its own transcript, so a pass is evidence, not attendance. The first module of every program is free with a free account.
- What interview question tests AI risk and impact assessment?
- Take me through an AI risk and impact assessment you would run for a hiring tool. What do you assess, and who signs? A strong answer shows the practice itself: Reviews purpose, data, affected people, accuracy, bias, security, oversight, vendors and law for a use case, scores likelihood and impact, and documents residual risk.