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Who it's for:
- Auditors, regulators, and compliance officers
- AI developers and engineers
- Senior management
- Data privacy experts
- Third-party vendors
- Academic researchers
- AI ethicists and policy makers
AI Risk Management: Thinking Beyond Regulatory Boundaries
Release Date: 11/13/2024
- Fundamental concepts, principles, and vocabulary used to assess AI end-to-end
- Key metrics used to evaluate an intelligent systems
- The value of AI trustworthiness beyond regulatory compliance
- How to assess risk during all stages of the AI lifecycle, including development, deployment, monitoring, and decommissioning
- Key factors that contribute to effective AI governance
- How to comply with global AI regulations such as the General Data Protection Regulation (GDPR) and EU AI Act
- Specific aspects to consider when evaluating an AI system, including AI infrastructure, sensors, data storage, communication interfaces, control systems, privacy methods, and much more
- Assessment questions pertaining to the above concepts
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