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Module 1 narrative – Why planning matters in an AIMS

Why Clause 6 matters

Why AI planning is different

Module 2 narrative – Clause 6 explained

Clause 6.1.1 – Actions to address risks and opportunities

Clause 6.1.2 – AI risk assessment

Clause 6.1.3 – AI risk treatment

Clause 6.1.4 – AI system impact assessment

Clause 6.2 – AI objectives and planning to achieve them

Clause 6.3 – Planning of changes

Module 3 narrative – Integrating Clause 6 into an IMS

Integration rather than stand-alone planning

Phase 1: Discovery and scoping

Annex B. Suggested implementation roadmap

Quiz

Quiz - Question 1 - Planning

Quiz - Question 2 - AI risk assessment

Quiz - Question 3 - AI risk treatment and control measures

Quiz - Question 4 - AI objectives and planning to achieve them

Quiz - Question 5 - Implementation roadmap

Survey/Feedback

Practical reminder

Badge Card

Welcome to "ISO/IEC 42001: Risk-Based Planning for AI Management Systems. " As artificial intelligence rapidly transforms the business landscape, organizations face unprecedented challenges in managing AI-specific risks such as algorithmic bias, model drift, explainability, and safety.

$ (USD)

Welcome to "ISO/IEC 42001: Risk-Based Planning for AI Management Systems." As artificial intelligence rapidly transforms the business landscape, organizations face unprecedented challenges in managing AI-specific risks such as algorithmic bias, model drift, explainability, and safety. This comprehensive course is designed to demystify Clause 6 of the ISO/IEC 42001 standard, positioning it as the critical planning engine of your Artificial Intelligence Management System (AIMS). Throughout this course, you will explore how to bridge the gap between high-level organizational context and actionable operational controls. We will dive deep into the unique characteristics of AI planning, differentiating it from traditional enterprise risk management. You will learn step-by-step how to conduct specialized AI risk assessments (Clause 6.1.2), formulate robust risk treatment plans (Clause 6.1.3), and perform broader societal impact assessments (Clause 6.1.4). Furthermore, the course covers setting measurable AI objectives and seamlessly integrating Clause 6 into your existing Integrated Management Systems (IMS) like ISO 9001 or ISO/IEC 27001. Whether you are establishing a new AIMS or upgrading your current governance frameworks, this course provides the strategic roadmap, practical tools, and knowledge checks necessary to ensure your AI deployments are responsible, compliant, and aligned with your business goals. Join us to master risk-based planning and lead your organization's safe adoption of AI technologies.

ISO/IEC 42001 Clause 6 Explained

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            <p>As quality, risk, and compliance professionals, you already know that Clause 6 is the planning engine of any ISO management system. However, when it comes to Artificial Intelligence, traditional enterprise risk assessments simply do not cut it. AI introduces entirely new, dynamic variables—such as algorithmic bias, model drift, explainability hurdles, and complex safety concerns—that require a highly specialized approach. This course dives deep into ISO/IEC 42001 to show you exactly how to bridge the gap between high-level organizational context (Clause 4) and leadership intent (Clause 5), translating them into actionable, risk-based plans specifically designed for an Artificial Intelligence Management System (AIMS).</p>

<p>Throughout this journey, we will walk through the critical components of Clause 6 to help you build a resilient AI governance structure. We will break down how to conduct robust AI risk assessments alongside broader societal impact assessments, formulate comprehensive risk treatment plans using Annex A controls, and set meaningful, measurable AI objectives. Crucially, we will not be treating AI planning as an isolated, purely technical exercise. Instead, we will explore how to seamlessly integrate these new AI requirements into your existing Integrated Management System (IMS)—whether you are currently running ISO 9001, 14001, or 27001. By the time you complete the modules and knowledge checks, you will have a clear, phased implementation roadmap for discovery, scoping, and change management to keep your AI initiatives safe, responsible, and fully compliant.</p>
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