AI Governance for Organizations: Applying ISO/IEC 38507:2022

سرفصل های دوره

AI offers unprecedented technology capabilities, but how can you use it effectively, efficiently, and responsibly? In this course, instructor Lyron Andrews demonstrates how to use ISO/IEC 38507:2022 standard as a tool to govern the use of AI at your organization. By the end of this course, you’ll be able to define terms related to AI and governance while understanding the implications and accountability related to its use. Additionally, you’ll be prepared to create and apply policies and decision-making principles that support compliance and risks related to AI governance.

01 - Introduction

01 - Learning AI governance for organizations

02 - 1. Introduction (Clauses 3-3.2)

01 - Why the need for AI governance

02 - Defining terms related to AI and governance (Clauses 3-3.2 and Annex A)

03 - 2. Governance Implications of Using AI (Clauses 4.1-4.3)

01 - Maintaining governance when introducing AI (Clauses 4.1-4.2)

02 - Maintaining accountability when introducing AI Part 1 (Clause 4.3)

03 - Maintaining accountability when introducing AI Part 2 (Clause 4.3)

04 - 3. Overview of AI and AI Systems (Clauses 5-5.5)

01 - How AI systems differ from other IT Part 1 (Clauses 5-5.2)

02 - How AI systems differ from other IT Part 2 (Clauses 5.2-5.2.3)

03 - AI ecosystem (Clause 5.3)

04 - Benefits of the use of AI (Clause 5.4)

05 - Constraints on the use of AI (Clause 5.5)

05 - 4. Policies to Address the Use of AI (Clauses 6-6.7)

01 - AI governance oversight and decision-making (Clauses 6-6.3)

02 - AI governance of data use (Clause 6.4)

03 - Culture and value (Clause 6.5)

04 - Compliance obligations and management (Clauses 6.6-6.6.2)

05 - Risk appetite and management (Clauses 6.7.1-6.7.2)

06 - Risk objectives (Clause 6.7.3)

07 - Sources of risks (Clause 6.7.4)

08 - Risk controls (Clause 6.7.5)

06 - Conclusion

01 - Next steps

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تولید کننده: LinkedIn Learning (Lynda)