7-Step Guide to Implementing AI Management Systems (AIMS) - ISO 42001

Learn the essential 7-step process for implementing an AI Management System (AIMS) in accordance with ISO IEC 42001:2023 in this 16-minute video tutorial. Master how to establish a structured framework for managing AI risks, ensuring ethical practices, and enhancing governance within organizations. Explore each implementation phase in detail, from defining scope and AI objectives to conducting risk assessments, developing policies, and establishing robust governance structures. Gain practical insights into creating management systems that emphasize transparency, accountability, and continuous improvement as organizations navigate the evolving landscape of artificial intelligence technology.

Syllabus

In this video, we walk you through the 7-step process for implementing an AI Management System AIMS in alignment with ISO IEC 42023. As artificial intelligence AI continues to evolve, organizations need a structured framework to manage AI risks, ensure ethical practices, and enhance governance. ISO IEC 42001 introduces a comprehensive framework for establishing AI management systems that prioritize transparency, accountability, and continuous improvement. We’ll break down each step, starting with defining the scope and AI objectives, followed by risk assessment, policy development, and the establishment of governance structures.
⏩ Check out the ISO IEC 42023 tutorial videos:
Introduction to ISO IEC 42023 : https://www.youtube.com/watch?v=d6hmbRFDbFY
Internal Audit process for ISO IEC 42023: https://www.youtube.com/watch?v=-K4K2py--NM