AI Governance Practitioner

Level Specialist Duration 20 hours

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AI Governance Practitioner qualification develops the necessary knowledge and skills to strengthen AI governance by supporting safe and complaint AI adoption. It develops the capabilities to assess the conformance and implementation of an Artificial Intelligence Management System agnostically; with its family of standards; conforming to ISO/IEC 42001 and gain the understanding of the concepts which underpin ISO/IEC 22989:2023 as a normative reference in ISO/IEC 42001:2023, whilst building a risk management system based on ISO/IEC 23894:2023. As a risk-based standard ISO/IEC 42001:2023 provides the option of 38 risk controls that you may determine necessary for manging your AI risks. It will provide an oversight into how to implement these controls if they are necessary for the effective implementation of an AIMS and be provided with the understanding and tools to conduct an AI System Impact Assessment, either in isolation or as part of an ISO/IEC 42001:12023 AI management system.

How will I benefit?

This qualification will help you by giving you the knowledge and skills to:

Identify and apply the benefits and requirements for an ISO/IEC 42001 management system
Understand what is needed to develop an AI system
Understand key terms and definitions associated with AI, AI System Impact Analysis
Create the framework for your own Artificial Intelligence Management System (AIMS)
Apply the best practice controls in ISO/IEC 42001:2023 with a clear rationale behind the processes and usages associated with the controls
Gain knowledge to develop your AIMS framework, build a risk management system and build awareness and support across your organization
Be confident that you have the capability to protect your business and meet stakeholder expectations
Gain awareness of the importance and significance of implementing a risk management system within an organization’s structure
Understand risk terminology and how they apply in mitigating threats and delays
Implement the controls more effectively through clear and practical guidance
Recognize how implementing these controls will help reduce levels of AI risk within your organization
Understand what is needed to develop an AI System Impact Analysis process
Deliver the implementation of AI System Impact Assessments
Discuss the concept of AI System Impact Assessments with key AI stakeholders

Which qualification will I achieve?

This qualification allows individuals to have an understanding of the key terms, definitions and concepts of AI, AI systems, impact assessment and risk management based upon the associated group of standards; ISO/IEC 22989:2023, ISO/IEC 42005 and ISO 23894 helping with the management of an ISO/IEC 42001:2023 AIMS its implementation and the development of risk assessment and risk management frameworks.

You will have the knowledge to:
- Explain the purpose and business benefits of an Artificial Intelligence Management Systems (AIMS) and AIMS standards (history, terms, definitions, concepts and principles)
- Understand why risk management is an important organizational activity and recognize ISO/IEC 23894 as part of a larger framework of standards
- Be able to define the key terms and principles within ISO/IEC 23894 and effective AI risk management systems and the relationship between AI System Impact Assessments, ISO/IEC 42001 and ISO/IEC 23894
- Possess the knowledge to create a risk management framework and how an AI System Impact Assessment fits
- Understand the importance of a risk management audit
- Explain the purpose and background of ISO/IEC 42001:2023
- Explain the scope and structure of ISO/IEC 42001:2023 annex A
You will have the skills to:
- Identify and apply the scope, contexts, and risk criteria for a given prompt and perform a risk analysis
- Identify the documents needed in a risk management file and be familiar with adapting changes into a risk management file
- Recognize the different best practice controls recommended by ISO/IEC 42001:2023 and the benefit of implementing those appropriate to you
- Conduct an AI System Impact Assessment
The AI Governance Practitioner comprises five mandatory on-demand eLearning courses and five assessments.
1. ISO/IEC 22989:2023 Understanding AI Concepts and Definitions Training Course
2. Understanding and Implementing an AI system Impact Assessment
3. ISO 23984 AI Risk Management
4. ISO/IEC 42001:2023 Requirements Training Course
5. Implementing ISO 42001 Controls
Delegates who have already achieved the AI Governance Foundation qualification have completed Courses 1 to 3 and their associated assessments. To attain the AI Governance Practitioner qualification, they only need to complete:
- ISO/IEC 42001:2023 Requirements Training Course
- Implementing ISO 42001 Controls
and pass the corresponding assessments.
- Those who will be involved in advising top management on the introduction of ISO/IEC 42001 into an organization
- Anyone working with AI, including consultants
- Anyone involved in implementing, auditing, maintaining or supervising of an ISO/IEC 42001 AIMS
There are no formal prerequisites for this qualification. It will help if you have experience of conducting internal audits or implementation. If you have already completed the AI Foundation qualification in the last 3 years you will only need to complete the ISO 42001 requirements and Implementing ISO 42001 Controls to complete the practitioner level.

The qualification will only be awarded if all components are successfully completed within 3 years.
This qualification comprises five mandatory courses and five assessments (multiple choice questions).
The final step on the AI Governance qualification pathway developing an even fuller knowledge base, providing a more technical understanding. The professional level enhances understanding of AI best practices and more advanced concepts by reviewing the critical aspects of building and deploying trustworthy AI systems, considering the technical tools to ensure AI systems are unbiased ensuring decision making a is ethical and fair and exploring the methods for assessing robustness

Find out more here.

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