Why Choose ISO/IEC 42001 Lead Implementer: Building an AI Management System Training Course?
Artificial intelligence is becoming part of everyday business decisions, customer services, operations and product development. Its growing use creates opportunities to improve efficiency and innovation, while also raising questions about accountability, data quality, security, fairness, transparency and human oversight. Organisations need a structured way to manage these issues across the full lifecycle of their AI systems.
ISO/IEC 42001 provides the requirements for an Artificial Intelligence Management System (AIMS). It helps organisations establish policies, assign responsibilities, assess risks and impacts, implement controls, measure performance and continually improve how AI is developed, provided and used. An effective AIMS brings AI governance into existing management and operational processes, so that responsibilities are clear and decisions can be supported by evidence.
This ISO/IEC 42001 Lead Implementer training course guides participants through the stages of implementing an AIMS. It begins with organisational context and scope, then covers AI risk and impact assessment, governance controls, operational processes, performance evaluation and certification readiness. Throughout the course, participants apply the concepts to an organisational case study and develop a practical implementation roadmap they can adapt to their own workplace.
What are the Goals?
By the end of this course, participants will be able to:
- Explain the purpose, structure and requirements of ISO/IEC 42001.
- Define the scope, policy, objectives and governance arrangements for an AIMS.
- Identify AI systems and the parties affected by their development or use.
- Establish approaches to AI risk assessment, impact assessment and risk treatment.
- Select and implement controls that support responsible AI practices.
- Integrate AIMS requirements into AI development, procurement and operational processes.
- Establish documented information and evidence of implementation.
- Evaluate AIMS performance through monitoring, internal audits and management review.
- Plan corrective actions, continual improvement and certification readiness.
Who is this Training Course for?
This course is designed for professionals responsible for implementing or supporting AI governance, including:
- AI governance and responsible AI managers
- Information security and privacy professionals
- Risk, compliance and legal professionals
- AI product owners, developers and data science leaders
- Digital transformation and IT managers
- Internal auditors and management system professionals
- Consultants supporting ISO/IEC 42001 implementation
How will this Training Course be Presented?
The course combines instructor-led presentations, group discussions, case studies and implementation exercises. Participants work through a continuing organisational scenario to define an AIMS scope, assess AI risks and impacts, plan controls, identify required documentation and prepare an implementation roadmap.
The Course Content
- Purpose, structure and key concepts of ISO/IEC 42001
- Understanding the organisation and its AI-related context
- Identifying interested parties and their requirements
- Defining the scope and boundaries of the AIMS
- Creating an inventory of AI systems and their intended uses
- Establishing leadership commitment and governance responsibilities
- Developing an AI policy and measurable AIMS objectives
- Conducting an initial gap assessment and implementation planning
- Establishing criteria and methods for AI risk assessment
- Identifying risks throughout the AI system lifecycle
- Assessing data quality, privacy, security and reliability concerns
- Evaluating fairness, transparency, explainability and human oversight
- Planning AI system impact assessments
- Identifying opportunities associated with the responsible use of AI
- Selecting risk treatment options and assigning ownership
- Recording assessment results and treatment decisions
- Translating AIMS requirements into policies and procedures
- Reviewing controls relevant to organisational AI activities
- Governing AI design, development, testing and deployment
- Managing the acquisition and use of third-party AI systems
- Establishing controls for data, models and system outputs
- Defining human oversight, escalation and intervention processes
- Managing AI system changes, incidents and unintended outcomes
- Developing a phased control implementation plan
- Integrating AIMS processes into existing business operations
- Assigning resources, competence and awareness responsibilities
- Managing communication and documented information
- Monitoring AI systems and the effectiveness of controls
- Establishing performance indicators and reporting arrangements
- Planning and conducting internal AIMS audits
- Preparing and conducting management reviews
- Identifying nonconformities and corrective actions
- Evaluating the effectiveness of the implemented AIMS
- Reviewing changes in AI systems, risks and interested-party needs
- Investigating incidents and applying lessons learned
- Managing corrective actions and continual improvement
- Organising documented evidence for an external audit
- Assessing gaps against certification expectations
- Presenting an AIMS implementation roadmap to leadership
- Developing a 90-day action plan for the participant’s organisation
Certificate
- AZTech Certificate of Completion for delegates who attend and complete the training course
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