AI Risk Management and Impact Assessment

About Course

Assess AI risks and impacts through a complete fictional customer-service case. Learn to define scope, involve affected people, map data, evaluate performance and harm, select controls, judge residual risk and document release decisions. Includes 18 detailed lessons, worked examples, private challenges with feedback and a 36-question final quiz.

LO01: Scope an AI risk and impact assessment with clear evidence and decision authority.
LO02: Identify affected parties, information flows and specific harm scenarios.
LO03: Evaluate severity, likelihood, decision rules and performance evidence.
LO04: Review privacy, security and supplier evidence for the defined AI use.
LO05: Document treatments, residual decisions and an impact assessment report.
LO06: Use monitoring and integrated evidence to recommend a bounded release decision.

Course Content

Assessment foundations
Define the assessed use, distinguish risk from impact and select an evidence plan.

01. Define the AI system and assessment boundary
02. Distinguish risk, impact and observed incidents
03. Choose an assessment approach and evidence plan

Context, people and harm scenarios
Identify affected groups, map lifecycle dependencies and build actionable scenarios.

Evaluate risk and evidence
Apply training criteria and examine subgroup performance with appropriate limitations.

Privacy, security and suppliers
Assess information exposure, tool misuse and external dependencies.

Treatment and impact reporting
Select testable controls, reassess residual risk and prepare a traceable report.

Monitoring and integrated decision
Plan reassessment, practise incident decisions and complete the final case.

Assessment

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AI Risk Management and Impact Assessment

About Course

What Will You Learn?

Course Content

Assessment foundations
Define the assessed use, distinguish risk from impact and select an evidence plan.

01. Define the AI system and assessment boundary

02. Distinguish risk, impact and observed incidents

03. Choose an assessment approach and evidence plan

Context, people and harm scenarios
Identify affected groups, map lifecycle dependencies and build actionable scenarios.

04. Identify stakeholders and barriers to participation

05. Map data, dependencies and the AI lifecycle

06. Build a harm scenario register

Evaluate risk and evidence
Apply training criteria and examine subgroup performance with appropriate limitations.

07. Set severity and likelihood criteria

08. Evaluate risk against decision rules

09. Assess performance, fairness and coverage

Privacy, security and suppliers
Assess information exposure, tool misuse and external dependencies.

10. Assess privacy and information exposure

11. Assess security, prompt injection and action misuse

12. Assess suppliers and external dependencies

Treatment and impact reporting
Select testable controls, reassess residual risk and prepare a traceable report.

13. Select controls and define verification evidence

14. Reassess residual risk and obtain acceptance

15. Prepare the impact assessment report

Monitoring and integrated decision
Plan reassessment, practise incident decisions and complete the final case.

16. Monitor change and define reassessment triggers

17. Run a risk review and learn from an incident

18. Complete an integrated risk and impact review

Assessment

AI Risk Management and Impact Assessment – Final Quiz

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About Course

What Will You Learn?

Course Content

Assessment foundations Define the assessed use, distinguish risk from impact and select an evidence plan.

01. Define the AI system and assessment boundary

02. Distinguish risk, impact and observed incidents

03. Choose an assessment approach and evidence plan

Context, people and harm scenarios Identify affected groups, map lifecycle dependencies and build actionable scenarios.

04. Identify stakeholders and barriers to participation

05. Map data, dependencies and the AI lifecycle

06. Build a harm scenario register

Evaluate risk and evidence Apply training criteria and examine subgroup performance with appropriate limitations.

07. Set severity and likelihood criteria

08. Evaluate risk against decision rules

09. Assess performance, fairness and coverage

Privacy, security and suppliers Assess information exposure, tool misuse and external dependencies.

10. Assess privacy and information exposure

11. Assess security, prompt injection and action misuse

12. Assess suppliers and external dependencies

Treatment and impact reporting Select testable controls, reassess residual risk and prepare a traceable report.

13. Select controls and define verification evidence

14. Reassess residual risk and obtain acceptance

15. Prepare the impact assessment report

Monitoring and integrated decision Plan reassessment, practise incident decisions and complete the final case.

16. Monitor change and define reassessment triggers

17. Run a risk review and learn from an incident

18. Complete an integrated risk and impact review

Assessment

AI Risk Management and Impact Assessment – Final Quiz

Earn a certificate

Student Ratings & Reviews

Assessment foundations
Define the assessed use, distinguish risk from impact and select an evidence plan.

Context, people and harm scenarios
Identify affected groups, map lifecycle dependencies and build actionable scenarios.

Evaluate risk and evidence
Apply training criteria and examine subgroup performance with appropriate limitations.

Privacy, security and suppliers
Assess information exposure, tool misuse and external dependencies.

Treatment and impact reporting
Select testable controls, reassess residual risk and prepare a traceable report.

Monitoring and integrated decision
Plan reassessment, practise incident decisions and complete the final case.