 <h1>Congratulations! 🎉 </h1>
    <p style="color:#637381;">All done! You’ve completed another milestone.</p>

To continue, enter your details to log in.

We’ve sent a 6‑digit code to #MAIL_ADDRESS#\nPlease check your inbox or spam folder and enter the code below to continue.

Verification code sent

Thank you for the payment. You can now access {collectionName} by simply clicking the button below.

Yes, you’ve successfully ordered! 🎉

Unlock This Exclusive Course

It seems that your email address is not currently on the authorized access list. Please ensure you are using the email address that was invited, or contact the content owner for assistance.

Verification Required for Access

Section 1: Foundations of AI Concepts (ISO/IEC 22989)

Module 1: Why concepts matter for controls

5.15 Trustworthiness

5.19 AI stakeholder roles

Section 2: The AI Lifecycle and Risk Assessment Integration

6 AI system life cycle

8.2 AI Risk Assessment

Section 3: Bridging Concepts to Practical Control Implementation and Auditing

Module 2: Concept-to-control links in practice

Annex A (normative) — Reference Control Objectives and Controls

Module 3: Using the links for implementation and audit

Section 4: Quizzes

5 AI concepts

6.2 AI system life cycle stages and processes

8.3 AI Risk Treatment

9.2 Internal Audit

Section 5: Course Wrap-up and Feedback

10.2 Continual Improvement

Welcome to 'Translating ISO/IEC 22989 AI Concepts into ISO/IEC 42001 Controls', the definitive course designed to bridge the gap between abstract Artificial Intelligence concepts and actionable compliance frameworks. As AI technologies rapidly evolve, organizations face the critical challenge of implementing robust, compliant, and auditable AI Management Systems (AIMS).

Welcome to 'Translating ISO/IEC 22989 AI Concepts into ISO/IEC 42001 Controls', the definitive course designed to bridge the gap between abstract Artificial Intelligence concepts and actionable compliance frameworks. As AI technologies rapidly evolve, organizations face the critical challenge of implementing robust, compliant, and auditable AI Management Systems (AIMS). This comprehensive course demystifies the foundational AI concepts outlined in ISO/IEC 22989—such as bias, transparency, trustworthiness, and the AI system lifecycle—and demonstrates exactly how to translate them into the practical, normative controls required by ISO/IEC 42001. 

Throughout this course, you will explore the intricate relationship between AI stakeholder roles and organizational responsibilities, ensuring your risk assessments and control designs are both accurate and audit-ready. You will learn to map the AI system lifecycle directly to lifecycle management controls, evaluate operational AI risks using a shared international vocabulary, and design standard operating procedures that seamlessly integrate conceptual terminology with operational reality. Whether you are an AI provider, producer, or customer, this course will empower you to formulate comprehensive audit plans, critique current AIMS designs, and build robust evidence for compliance. By bridging the theoretical with the practical, you will not only prepare your organization for rigorous certification audits but also foster a culture of responsible AI innovation. Equip yourself with the knowledge to navigate complex regulatory landscapes and drive ethical AI adoption across your enterprise.

ISOIEC 22989 - How to link AI Concepts to ISOIEC 42001 Controls

<div class="simple-box-wrapper">
    <div class="simple-box">
        <div class="column">
            <p>Navigating the rapidly evolving landscape of Artificial Intelligence requires more than just understanding new terminology; it demands a clear path from abstract concepts to actionable governance. If you are tasked with designing, integrating, or auditing an Artificial Intelligence Management System (AIMS), you already know that bridging the gap between the foundational AI concepts in ISO/IEC 22989 and the concrete controls of ISO/IEC 42001 can feel like translating two different languages. Whether you are an implementer weaving AI controls into existing frameworks like ISO 27001 or ISO 9001, an auditor preparing to assess AIMS effectiveness, or a governance professional overseeing digital transformation, making sense of how concepts like algorithmic bias, transparency, and stakeholder roles directly drive control selection is critical for your organization's compliance and risk strategy.</p>

<p>This course is designed to demystify that translation process and give you a practical roadmap for implementation and oversight. We will start by breaking down the foundational concepts of ISO/IEC 22989, exploring why understanding trustworthiness characteristics and your specific AI stakeholder role matters for control design. From there, we will map the AI system lifecycle directly to ISO/IEC 42001 requirements, showing you exactly how to integrate these stages into your risk assessment and treatment processes. You will learn how to move beyond treating Annex A and Annex B controls as mere checkboxes, transforming them into practical, evidence-based responses to real-world AI risks.</p>

<p>By the time you work through the concept-to-control workflows and test your knowledge in the practical quizzes, you will be equipped to design standard operating procedures that seamlessly blend conceptual AI terminology with operational reality. Auditors will walk away knowing how to ask sharper, more effective questions using the shared vocabulary of ISO/IEC 22989 to test the true effectiveness of ISO/IEC 42001 controls. Ultimately, you will gain the confidence to build, critique, and continually improve a robust, audit-ready AIMS that aligns perfectly with international standards.</p>
        </div>
    </div>
</div>
