ISO/IEC 42001 Foundation Training — Lesson 3: AI Risk, Impact Assessment, Controls, Treatment, and Accountability

Learning Objectives

• Interpret the principles, requirements, roles, and dependencies shaping ai risk, impact assessment, controls, treatment, and accountability.
• Apply the workflow and produce foundation AI risk and control exercise that another practitioner can review.
• Analyze “a low technical risk creates significant impact for affected people” and recommend a proportionate, supported response.

Detailed Topics

• AI risk criteria
• risk identification
• impact assessment
• risk analysis
• risk treatment
• control selection
• accountability
• human oversight
• Competence, communication, governance, documented information, risk, validation, and follow-up considerations

Instructor Demonstration

The instructor demonstrates the ai risk, impact assessment, controls, treatment, and accountability workflow, identifies the applicable inputs and responsibilities, records checkpoints in foundation AI risk and control exercise, and contrasts the accepted state with a condition where a low technical risk creates significant impact for affected people.

Hands-On Exercise

Complete a controlled implementation, audit, assessment, or foundation exercise for AI Risk, Impact Assessment, Controls, Treatment, and Accountability. Establish scope and criteria, collect or create evidence, examine “a low technical risk creates significant impact for affected people,” reach a supported conclusion, and preserve the result in foundation AI risk and control exercise.

1. Confirm objectives, scope, roles, criteria, stakeholders, and expected outputs.
2. Perform the planned activities while recording assumptions, evidence, and decisions.
3. Test a normal case, an exception, and a follow-up or improvement condition.
4. Document conclusions, owners, due dates, escalation, and verification requirements.

Scenario Analysis

• Identify the requirement or principle with the strongest influence on ai risk, impact assessment, controls, treatment, and accountability.
• Compare two defensible responses and explain their governance, risk, and evidence trade-offs.
• Determine how foundation AI risk and control exercise should be approved, retained, reviewed, and updated.

Troubleshooting Guidance

Separate missing evidence from ineffective practice, and distinguish a documentation issue from a control, process, governance, or competence failure. Use foundation AI risk and control exercise to trace the earliest divergence. Treat “a low technical risk creates significant impact for affected people” as a hypothesis until the response is validated against the applicable requirement and intended outcome.

Validation Checklist

• The scope, criteria, stakeholders, and intended outcome for ai risk, impact assessment, controls, treatment, and accountability are explicit.
• The foundation AI risk and control exercise links statements and decisions to objective, reviewable support.
• Responsibilities, competence, communication, risk, legal duties, and change impact were considered where relevant.
• Findings, corrective actions, monitoring, review triggers, and improvement ownership are clear.

Lesson Outcome

Learners can apply AI Risk, Impact Assessment, Controls, Treatment, and Accountability, explain the reasoning used, and defend the result through foundation AI risk and control exercise.