Iso/iec 42001 Certification In Ai Management System
Published 10/2024
Created by Edcorner Learning
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 54 Lectures ( 7h 5m ) | Size: 2.83 GB
Secure, Transparent, and Compliant: Mastering AI with ISO/IEC 42001
What you'll learn
ISO/IEC 42001 and AI Governance
Key Components of AI Governance in ISO/IEC 42001
Legal, Ethical, and Regulatory Compliance in AI
Implementation of ISO/IEC 42001 in Organizations
AI System Management and Controls
Ethical AI Design and Responsible AI Innovation
Case Studies and Best Practices in AI Governance
Certification and Continuous Improvement
Real-World Examples of ISO/IEC 42001 Implementation
Requirements
Eager to learn.
Description
This course on ISO/IEC 42001 Certification in AI Management system provides a thorough understanding of the emerging standard for AI management systems and the importance of AI governance in ensuring responsible and ethical AI deployment. The course covers all critical aspects of AI governance, including the development of ethical AI policies, risk management, compliance with global regulations, and continuous monitoring of AI systems to minimize risks and enhance transparency.The course begins with an Introduction to ISO/IEC 42001 and AI Governance, exploring its history, purpose, key stakeholders, and the significance of AI governance in addressing ethical, regulatory, and operational challenges. The next section focuses on the Key Components of AI Governance in ISO/IEC 42001, emphasizing the creation of a structured governance framework, defining ethical values, and establishing transparency and accountability within AI systems.The course then delves into Legal, Ethical, and Regulatory Compliance in AI, covering global regulations such as GDPR, and how these impact AI governance practices. Participants will gain practical knowledge on Implementation of ISO/IEC 42001 in Organizations, learning steps to establish governance models, engage stakeholders, and develop internal policies for AI use. Following that, the course covers AI System Management and Controls, focusing on data governance, testing, security, and continuous monitoring of AI models to ensure performance and reliability.In the section on Ethical AI Design and Responsible AI Innovation, the course addresses human oversight, mitigating unintended consequences, and promoting fairness and innovation in AI systems. It also includes Case Studies and Best Practices in AI Governance, featuring examples from leading organizations that have successfully implemented AI governance frameworks. Finally, the course concludes with the Certification and Continuous Improvement process, detailing steps to prepare for certification, maintaining compliance, and incorporating continuous improvement into AI governance practices.This comprehensive course equips participants with the knowledge and tools to establish and maintain responsible AI governance aligned with international standards like ISO/IEC 42001.
Who this course is for
AI Developers and Engineer
Data Scientists
Compliance Officers
IT and AI Governance Teams
Senior Management and Executives
Ethics Committees and AI Policy Makers
Legal and Regulatory Experts
Auditors and Certification Bodies
AI Researchers and Academics
AI Product Managers
AI Trainers and Educators
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