Iso/Iec 42001 Certification In Ai Management System
Published 10/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
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
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
