Iso/Iec 42001 Certification In Ai Management System

Iso/Iec 42001 Certification In Ai Management System - Printable Version

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Iso/Iec 42001 Certification In Ai Management System - AD-TEAM - 11-15-2024

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Iso/Iec 42001 Certification In Ai Management System
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.51 GB | Duration: 7h 6m

Secure, Transparent, and Compliant: Mastering AI with ISO/IEC 42001

[b]What you'll learn[/b]

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

[b]Requirements[/b]

Eager to learn.

[b]Description[/b]

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.

Overview

Section 1: Introduction

Lecture 1 What is ISO/IEC 42001?

Lecture 2 Key Stakeholders and Development Process

Section 2: Importance of AI Governance

Lecture 3 Defining AI Governance and Management

Lecture 4 Challenges in AI Governance: Ethical, Regulatory, and Operational

Lecture 5 Risks Associated with AI Systems

Lecture 6 Ensuring Responsible AI

Lecture 7 Enhancing Trust, Accountability, and Transparency

Lecture 8 Reducing AI Risks and Failures

Section 3: Key Components of AI Governance in ISO/IEC 42001

Lecture 9 Organizational Governance Structure for AI

Lecture 10 Roles and Responsibilities of AI Governance Bodies

Lecture 11 Defining Ethical Standards and Values

Lecture 12 AI Risk Assessment and Mitigation Techniques

Lecture 13 Managing Ethical, Security, and Privacy Risks

Lecture 14 Continuous Monitoring and Evaluation of AI Risks

Lecture 15 Ensuring Explainability of AI Decisions

Lecture 16 Establishing Accountability and Ownership for AI Models

Section 4: Legal, Ethical, and Regulatory Compliance in AI

Lecture 17 Principles of Fairness, Non-Bias, and Non-Discrimination

Lecture 18 Privacy Considerations in AI Systems

Lecture 19 Responsible AI Deployment in Different Sectors

Lecture 20 Overview of Global AI Regulations and Policies

Lecture 21 Alignment with National and International AI Laws

Lecture 22 Data Protection and Privacy Laws Impacting AI (e.g., GDPR)

Lecture 23 Developing Policies for Compliance

Section 5: Implementation of ISO/IEC 42001 in Organizations

Lecture 24 Steps to Establish AI Governance Models

Lecture 25 Integration with Organizational Processes and Culture

Lecture 26 Engaging Key Stakeholders and Building Governance Teams

Lecture 27 Developing Internal Policies for AI Use and Governance

Lecture 28 Guidelines for Model Development, Deployment, and Monitoring

Lecture 29 AI Model Lifecycle Management

Lecture 30 Key Documentation Requirements for ISO/IEC 42001

Lecture 31 Reporting and Auditing Requirements

Lecture 32 Setting up Transparent Reporting Mechanisms

Section 6: AI System Management and Controls

Lecture 33 Best Practices for AI System Design and Development

Lecture 34 Data Governance and Data Management for AI Systems

Lecture 35 Ensuring Robust Testing, Validation, and Verification

Lecture 36 Managing Security Threats and Vulnerabilities in AI

Lecture 37 Data Privacy and Anonymization Techniques in AI

Lecture 38 Encryption and Secure Communication in AI Applications

Lecture 39 Continuous Monitoring and Updating of AI Models

Lecture 40 Performance Management and Optimization of AI Systems

Lecture 41 Managing AI System Failures and Incidents

Section 7: Ethical AI Design and Responsible AI Innovation

Lecture 42 Ensuring Human Oversight in AI Systems

Lecture 43 Designing AI with Social Responsibility & Addressing Unintended Consequences

Lecture 44 Identifying and Mitigating Bias in AI Algorithms

Lecture 45 Case Studies of AI Bias and its Impacts

Lecture 46 Promoting Innovation while Ensuring Responsibility

Lecture 47 Real-World Examples of Responsible AI Innovation

Section 8: Case Studies and Best Practices in AI Governance

Lecture 48 Real-World Examples of ISO/IEC 42001 Implementation

Lecture 49 Best Practices in AI Governance from Leading Organizations

Lecture 50 ISO/IEC 42001 - Challenges, Opportunities, Future Trends

Section 9: Certification and Continuous Improvement

Lecture 51 Steps to Prepare for ISO/IEC 42001 Certification

Lecture 52 Certification Process and Requirements

Lecture 53 Maintaining and Renewing the Certification

Lecture 54 Continuous Monitoring of AI Systems and Governance Practices

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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