British Standards Institution

AI Governance & ISO 42001 Readiness for GRC, Audit, & Legal Specialization

British Standards Institution

AI Governance & ISO 42001 Readiness for GRC, Audit, & Legal Specialization

Responsible AI Governance with ISO Standards.

Master AI governance, risk, and compliance aligned to ISO 42001 and the EU AI Act

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Get in-depth knowledge of a subject
Beginner level
No prior experience required
4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Beginner level
No prior experience required
4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand AI concepts, terminology, stakeholders, lifecycles, and governance basics, including ISO/IEC 42001.

  • Apply AI impact assessments, risk management, and compliance aligned with ISO standards and the EU AI Act.

  • Design and manage trustworthy, ethical AI by mitigating risks and addressing societal and organizational impacts.

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Taught in English
Recently updated!

May 2026

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Specialization - 5 course series

What you'll learn

  • Understand AI fundamentals by explaining key concepts, principles, terms, definitions, and core system functions.

  • Describe the AI ecosystem by identifying key AI stakeholders, their roles, and the AI system life cycle model.

  • Recognize AI in practice by explaining common AI applications and how AI systems are used in real‑world contexts.

Skills you'll gain

Category: Data Ethics
Category: Artificial Intelligence
Category: Responsible AI
Category: Systems Development Life Cycle
Category: Quality Management Systems
Category: Stakeholder Analysis
Category: Stakeholder Management
Category: Governance
Category: AI literacy
Category: Risk Management
AI System Impact Assessment Guidance

AI System Impact Assessment Guidance

Course 2, 3 hours

What you'll learn

  • Understand AISIA terminology, purpose and core elements within an AI risk management framework.

  • Explain how AISIA aligns with ISO/IEC 42001, ISO/IEC 23894, and the supporting role of ISO/IEC 42005 annexes.

  • Apply AI system impact assessments to identify, assess and manage AI risks across the system lifecycle.

Skills you'll gain

Category: Accountability
Category: Artificial Intelligence
Category: AI Security
Category: Social Impact
Category: Ethical Standards And Conduct
Category: Trustworthiness
Category: Governance
Category: Accountability Frameworks
Category: Compliance Management
Category: Technical Standard
Category: Data Governance
Category: Risk Analysis
Category: Data Ethics
Category: Risk Management Framework
Category: Risk Management
Category: Governance Risk Management and Compliance
Category: Responsible AI
Category: Information Privacy

What you'll learn

  • Explain what AI is, why it matters, and how ISO/IEC 42001‑based AI management systems enable responsible organizational use.

  • Identify key AI governance concepts, processes, principles, structure, and terminology required by ISO/IEC 42001.

  • Develop and apply an AI risk management framework, including required documentation and risk analysis for a given scenario.

Skills you'll gain

Category: Governance
Category: Artificial Intelligence
Category: Risk Analysis
Category: Accountability Frameworks
Category: Risk Management
Category: Regulatory Compliance
Category: Trustworthiness
Category: Responsible AI
Category: Compliance Management
Category: Data Quality
Category: Risk Management Framework
Category: Data Ethics
Category: Human Machine Interfaces
Category: Data Governance
Category: Risk Mitigation
Understanding the Foundations of the EU AI Act

Understanding the Foundations of the EU AI Act

Course 4, 2 hours

What you'll learn

  • Explain the rationale for EU AI regulation and identify when the EU AI Act applies, based on its scope and territorial reach.

  • Assess whether a system qualifies as AI under Article 3(1) of the EU AI Act.

  • Differentiate the roles and responsibilities of AI providers and deployers under the EU AI Act.

Skills you'll gain

Category: Compliance Management
Category: Governance Risk Management and Compliance
Category: Law, Regulation, and Compliance
Category: Responsible AI
Category: Risk Management
Category: AI literacy
Category: Ethical Standards And Conduct
Category: Regulatory Requirements
Category: Data Ethics
Category: Legal Risk
Category: Trustworthiness
Category: Compliance Training
Category: Regulation and Legal Compliance
Category: Artificial Intelligence
Category: Risk Analysis
Category: Regulatory Compliance
Approaches to Establish Trust in AI Systems

Approaches to Establish Trust in AI Systems

Course 5, 4 hours

What you'll learn

  • Analyse factors influencing AI trustworthiness, including enhancement and evaluation approaches and their ethical and societal implications.

  • Assess how trustworthiness approaches are applied in AI systems, using methods to evaluate trust across different contexts.

  • Design and improve trustworthy AI by identifying vulnerabilities and implementing measures to mitigate risks.

Skills you'll gain

Category: Trustworthiness
Category: Regulatory Compliance
Category: Continuous Monitoring
Category: Governance
Category: Vulnerability Assessments
Category: Ethical Standards And Conduct
Category: AI literacy
Category: Policy Development
Category: AI Security
Category: Model Evaluation
Category: Responsible AI
Category: Software Quality Assurance
Category: Data Ethics
Category: Risk Management Framework
Category: Artificial Intelligence
Category: Risk Management

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Instructor

BSI Training Academy
British Standards Institution
5 Courses27 learners

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