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ISO 42005: AI Impact Assessment – Practical Implementation
Role Play
874 students
ISO 42005: AI Impact Assessment – Practical Implementation
Implement AI Impact Assessments using ISO 42005 with templates, scoring, governance, audits, and lifecycle reassessment
Created byDr. Amar Massoud
Last updated 3/2026
German
What you'll learn
- Conduct an ISO/IEC 42005 AI Impact Assessment end-to-end: scope, stakeholders, impacts, scoring, acceptability, mitigation, and reporting.
- Use professional templates (Impact Register, Scoring Matrix, Treatment Plan, AIIA Report) to document auditable, evidence-based decisions.
- Evaluate AI impacts using severity/likelihood logic, define residual impact, and decide acceptable vs. unacceptable impacts with clear rationale.
- Set up lifecycle reassessment triggers and integrate reviews, audits, and governance (ISO/IEC 42001 alignment) for continuous assurance.
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Course content
13 sections • 14 lectures • 1h 0m total length
Requirements
- Basic understanding of AI concepts and business processes is helpful. No coding required—templates and step-by-step guidance are provided.
Description
This course contains the use of artificial intelligence.
Artificial intelligence is no longer experimental. AI systems increasingly influence decisions that affect customers, employees, and society—making AI Impact Assessment a critical governance requirement. ISO/IEC 42005 provides the first structured international standard dedicated to assessing AI impacts, but many professionals struggle to translate the standard into practical, auditable implementation.
This course, ISO 42005: AI Impact Assessment – Practical Implementation, is designed to close that gap.
Rather than focusing on theory or abstract ethics discussions, this course walks you step by step through a complete, real-world AI Impact Assessment lifecycle, aligned with ISO/IEC 42005 and ready for use in professional environments. You will learn how to move from AI system definition to impact identification, evaluation, acceptability decisions, mitigation planning, documentation, approval, and ongoing lifecycle reassessment.
You will follow a realistic model AI system throughout the course and apply each concept using professional templates, including:
AI Impact Register
Impact Severity & Likelihood Scoring Matrix
Impact Treatment Plan
AI Impact Assessment (AIIA) Report
Re-assessment Trigger Register
Governance & Audit Integration Matrix
Every section follows a consistent explain → apply → practice structure. You will not only understand what ISO 42005 requires, but also how to produce evidence-based, auditable outputs suitable for governance reviews, internal audits, and regulatory scrutiny.
The course also goes beyond initial assessment. You will learn how to:
Define trigger-based reassessment for evolving AI systems
Integrate AI Impact Assessment into governance, risk, and audit structures
Prepare AIIA documentation that aligns with ISO/IEC 42001 and ISO 19011 auditing expectations
Maintain traceability, version control, and accountability over time
This course is ideal if you are responsible for AI governance, risk, compliance, privacy, security, or audit—and need a practical, standards-aligned approach rather than high-level guidance.
By the end of the course, you will be able to confidently initiate, conduct, review, or audit an AI Impact Assessment using ISO/IEC 42005, supported by reusable templates and a clear governance model.
Who this course is for:
- GRC, risk, compliance, privacy, and security professionals who need ISO/IEC 42005 AI Impact Assessments for governance, audits, and regulatory readiness.
- Product owners, AI/ML leads, program managers, and consultants implementing responsible AI with practical templates and real-world workflows.
- Internal auditors and ISO/IEC 42001 practitioners who want to integrate AI impact assessment into lifecycle controls, reviews, and assurance programs.