This introductory course provides a foundational understanding of Artificial Intelligence (AI) and the principles of an Artificial Intelligence Management System (AIMS) based on the ISO 42001 standard. It explores the key concepts, benefits, and challenges of AI, and how ISO 42001 provides a framework for organizations to responsibly and effectively manage their AI systems. This course is ideal for individuals seeking a general overview of AI governance and the role of ISO 42001.

Upon completion of this course, participants will be able to:

Define Artificial Intelligence (AI) and related key concepts.
Understand the benefits and potential risks associated with AI systems.
Explain the purpose and structure of ISO 42001: Artificial Intelligence Management System.
Identify the key principles and requirements of ISO 42001.
Recognize the importance of ethical considerations and responsible AI development and deployment.
Understand how an AIMS based on ISO 42001 can benefit an organization.
Describe the relationship between ISO 42001 and other relevant standards and regulations.

Course Outline:

Module 1: Introduction to Artificial Intelligence

What is Artificial Intelligence? Defining AI, Machine Learning, Deep Learning, and other related terms
Brief History and Evolution of AI
The Potential Benefits and Opportunities of AI
The Potential Risks and Challenges of AI (Bias, Transparency, Accountability, etc.)

Module 2: The Need for AI Governance and ISO 42001

The Importance of Managing AI Effectively and Ethically
Challenges in Governing AI Systems
Introduction to Management Systems and their Benefits
Overview of ISO 42001: Purpose, Scope, and Structure
The Principles of an Artificial Intelligence Management System
Benefits of Implementing an AIMS based on ISO 42001
Interactive Exercise: Identifying AI risks and benefits in a given scenario

Module 3: Key Concepts and Requirements of ISO 42001

Understanding the Context of the Organization in relation to AI
Leadership and Commitment in AI Governance
Planning for the AIMS: Objectives, Risk Assessment, and Treatment
Support: Resources, Competence, Awareness, Communication, and Documented Information
Operation: AI Development Lifecycle, Data Management, Validation and Verification
Performance Evaluation: Monitoring, Measurement, Analysis, and Evaluation
Improvement: Nonconformity and Corrective Action, Continual Improvement

Module 4: Responsible AI and the Way Forward

Ethical Considerations in AI Development and Deployment
Addressing Bias, Fairness, and Transparency in AI
Accountability and Responsibility in AI Systems
The Role of ISO 42001 in Promoting Responsible AI
Next Steps for Learning More about ISO 42001
Final Q&A and Course Wrap-up

Course Duration

4 – hours – Virtual Classroom

Target Audience:

Individuals with no prior in-depth knowledge of AI or management systems
Managers and professionals interested in understanding the basics of AI governance and ethical considerations
Employees who will interact with or be affected by AI systems within their organization
Individuals considering further training in ISO 42001 implementation or auditing