ISO/IEC 42001:2023: Understanding and Implementing the Artificial Intelligence Management System (AIMS) Standard

Course details

AI implementation and utilization are evolving and growing rapidly, but very few frameworks exist to provide guardrails or best practices on usage. As a result, the ISO/IEC 42001 standard has been breaking ground as the first international guideline for effectively maintaining an AI management system (AIMS).

In this course, instructor Lyron Andrews shows you how to implement a structured approach to managing risks and opportunities when using AI tools and frameworks. Along the way, find out how an organization can demonstrate that it’s using AI responsibly through traceability, transparency, and reliability. Upon completing this course, you’ll be prepared to integrate an AI management system (AIMS) into everyday workflows at your organization.

Concepts

0. Introduction

01 - The benefits of implementing AIMS

1. The Need and Overview of an AI Management System (AIMS) ISO 42001 - 2023

02 - Understanding the categories of AI uses
03 - How AI merits and challenges affect use
04 - Impact of laws and regulations
05 - Promoting trust, transparency, and reliability
06 - Understanding the benefits of expert standardization
07 - Benefits of a management system
08 - Overview of AIMS ISO 42001

2. Define Organizational Context - Clauses 4.1-4.4

09 - Context of organization - Clause 4
10 - Context of organization - Clause 4.1
11 - Interested party needs, AI scope, and AIMS - Clauses 4.2-4.4

3. Identify Leadership and Create AI Policy - Clauses 5.1-5.3

12 - AI leadership and commitment - Clause 5.1
13 - AI policy - Clause 5.2
14 - AI roles, responsibilities, and authorities - Clause 5.3

4. AI Planning - Clause 6.1.1- 6.3

15 - General - Clause 6.1
16 - AI risk assessment - Clause 6.1.2
17 - AI risk treatment - Clause 6.1.3
18 - AI system impact, objectives, and changes - Clauses 6.1.4-6.3

5. AI Support and Operations - Clause 7.1- 8.4

19 - AI resources, competence, and awareness - Clauses 7.1-7.3
20 - Communication - Clause 7.4
21 - Documented information - Clauses 7.5-7.5.3
22 - Operational planning and control - Clauses 8.1-8.2
23 - Operational planning and control - Clauses 8.3-8.4

6. AI Performance Evaluation and Improvement - Clause 9.1-10.2

24 - AI monitoring, management, and analysis evaluation - Clause 9.1
25 - Internal audit - Clause 9.2
26 - Management review - Clause 9.3
27 - Continual improvement and nonconformity corrective actions - Clauses 10.1-10.2

Conclusion

28 - Consider your role as you work with AIMS

ISO/IEC 42001:2023: Understanding and Implementing the Artificial Intelligence Management System (AIMS) Standard

Authors

Lyron Andrews