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ISO 42001 - Artificial Intelligence (AI) Management System

Name: ISO 42001 - Artificial Intelligence (AI) Management System
Rating: 3.9 (7 reviews)

ISO 42001 & AI Regulatory Frameworks - Establishing Ethical, Secure, and Compliant AI Governance

Role Play

Created byS.M. WAQAS IMAM, ExoExcellence Training Resources

Last updated 7/2025

English

English [Auto],

What you'll learn

Learn to identify, evaluate, and manage AI-related risks, including ethical concerns, regulatory obligations, and operational challenges.
Develop skills to implement structured AI policies, governance controls, and lifecycle management practices for AI transparency and accountability.
Align AI strategies with global governance standards, including EU AI Act, OECD AI Guidelines, and NIST AI RMF, ensuring compliance and fairness in AI operation
Gain a understanding of ISO 42001's structure, principles, and compliance requirements, ensuring responsible AI implementation.

Course content

4 sections • 14 lectures • 1h 17m total length

Introduction to ISO 42001 & AI Governance4:51
Discover ISO 42001, the AI management system standard for responsible governance that ensures ethical, transparent AI, regulatory compliance, and risk mitigation in organizations.
Important Notes: Guidance for New Students at Udemy2:27
Why AI-driven Organizations need ISO 420015:49
Discover why AI-driven organizations need ISO 42001 to establish structured governance, manage risk, ensure transparency, and continuously monitor and align AI with ethical principles and business goals.
AI stats & Basic Concepts5:28
Assess AI adoption trends and governance needs, and understand core concepts like Gen AI, machine learning, and AI management under ISO 42,001 to ensure ethical, transparent, and compliant AI.

Key AI Challenges5:41
Explore bias and fairness, data privacy, security, and the environmental impact of large models, and see how transparency and regulatory compliance enable responsible ai.
AI Risks and Mitigation Strategies7:17
explore AI risks from overreliance, privacy concerns, lack of transparency, and biased data, and learn governance, testing, data quality, and diverse vendor strategies to mitigate and responsibly deploy AI.
Case Studies with AI Performances3:29
Explore real world ai performance case studies to highlight governance, privacy regulation, bias in datasets, audits, real-time monitoring, safeguards, and risk mitigation.

Global AI Regulations4:25
Discover the global AI regulations landscape, including the EU AI Act, US governance, and China oversight, focusing on transparency, accountability, data protection, and ethical AI practices.
EU AI Act12:47
Explore the UAE act, a risk-based AI governance framework that classifies applications as minimal, limited, high, or unacceptable risk, and enforces transparency, data governance, ethics, and protection.
AI Governance versus AI Management3:42
Coordinate AI governance and management to enable ethical, secure adoption. Governance defines strategy and ethics, while management enacts it with monitoring, controls, and audits under ISO 42001.
AI Regulatory Frameworks: A Quick Comparative Overview4:30
Explore global AI governance models, from ISO 42,001 to the EU AI Act, NIST AI RMF, and OECD principles, highlighting risk management, ethics, transparency, and accountability.

Why Organizations Use Management Systems4:02
Organizations adopt management systems to achieve consistency, standardization, and efficiency while ensuring regulatory compliance and risk management; they build credibility through governance and ISO frameworks for AI.
Structure of ISO 420016:19
Explore the structure of ISO 42001, from mandatory clauses four to ten covering leadership, planning, support, lifecycle management, performance evaluation, and improvement, plus annexes with AI controls and governance guidance.
AI Controls in Annex A of ISO 420016:32
ISO 42001 annex A defines AI controls for ethical, transparent governance, detailing policies, internal roles, resources, life cycle, data, transparency, and third-party collaboration to ensure responsible AI.
You as AI Compliance Officer Advocating for Implementing ISO 42001 – AI Management System

Requirements

While no strict prerequisites are required, learners with basic AI knowledge and governance awareness will benefit the most from this course.

Description

Artificial intelligence is transforming industries, but without structured governance, it can pose ethical, legal, and operational risks. This comprehensive course on ISO/IEC 42001 provides a systematic approach to AI governance, ensuring organizations deploy AI ethically, securely, and transparently while adhering to global compliance standards.

What You’ll Learn:

Understanding ISO 42001 – Explore the core principles, structure, and compliance requirements of the first international AI management system standard.

AI Risk Assessment & Mitigation – Learn strategies for identifying and managing AI-related risks, ensuring responsible AI deployment.

Governance & Leadership in AI – Discover how top-level executives, AI practitioners, and compliance officers align AI strategy with ethical policies.

Operational Controls & AI Lifecycle Management – Implement structured AI policies, risk frameworks, transparency measures, and continual monitoring to ensure AI accountability.

Regulatory & Ethical AI Compliance – Gain insights into global AI regulations, including the EU AI Act, OECD AI principles, and NIST AI RMF, ensuring AI aligns with developing governance models.

Who Should Enroll?

- AI & IT professionals seeking expertise in AI governance frameworks.

- Compliance officers and executives managing AI risk assessment & ethical AI oversight.

- Business leaders integrating AI into enterprise strategy while ensuring transparency & accountability.

Course Benefits:

- Master AI governance structures, ensuring compliance with ISO 42001.

- Implement risk mitigation strategies, safeguarding AI systems against ethical and operational failures.

- Gain a structured approach to AI transparency, fairness, and accountability, fostering trustworthy AI ecosystems.

- We will further add more learning materials for ISO 42001 and other free resources to reinforce your understanding and support real-world application.

By the end of this course, you will be equipped with ISO 42001 AI governance knowledge, enabling you to lead responsible AI implementation and shape AI policies that align with industry best practices and ethical AI frameworks.

Who this course is for:

Developers, engineers, and architects seeking expertise in AI lifecycle management, compliance, and risk mitigation.
ompliance Officers & Risk Managers – Professionals overseeing AI governance, audits, and regulatory alignment with global standards.
Decision-makers integrating AI into enterprise strategies while ensuring ethical implementation.
Policy Makers & Legal Experts – Individuals involved in AI regulations, shaping governance policies for organizations and governments.
Academics & Researchers – Scholars studying AI management systems, ethical AI frameworks, and responsible AI deployment.

ISO 42001 - Artificial Intelligence (AI) Management System

What you'll learn

Explore related topics

Course content

Introduction to ISO 42001 & AI Governance4 lectures • 19min

Challenges and Risks3 lectures • 16min

Regulatory Frameworks4 lectures • 25min

ISO 42001 - Management System4 lectures • 17min

Requirements

Description

Who this course is for: