AI060: AI GRC Specialist

Agenda:

• Module 1: Introduction to GRC for AI
  • Objective: Understanding the fundamentals of Governance, Risk, and Compliance (GRC) in the context of AI. Participants learn how GRC is specifically applied to AI systems and the particularities in risk assessment.
  • Content:
    • Introduction to the GRC framework for AI-based systems
    • Identification and assessment of risks in AI applications
    • Examples of common GRC challenges in the field of Artificial Intelligence

• Module 2: EU AI Act
  
  • Objective: Providing a deep understanding of the EU AI Act and its significance for AI systems. Participants learn how to align their AI projects with the requirements of the EU AI Act.
  • Content:
    • Overview of the regulation and its legal implications
    • Classification of AI systems according to risk categories
    • Transparency requirements and reporting obligations for high-risk AI
    • Concrete steps to ensure compliance

• Module 3: AIMS (AI Management Systems)
  
  • Objective: Efficient management and control of the entire lifecycle of an AI system. Participants develop the ability to efficiently manage the lifecycle of their AI projects and ensure regulatory compliance.
  • Content:
    • Introduction to AI Management Systems (AIMS) and their function
    • Structured approaches to monitoring AI processes
    • Implementation of AIMS to ensure compliance and adherence to best practices
    • Tools for continuous monitoring and optimization of AI systems

• Module 4: NIST AI RMF
  
  • Objective: Conveying best practices for risk assessment and mitigation for AI. Participants are able to effectively integrate the NIST AI RMF into their AI projects to assess and mitigate risks.
  • Content:
    • Detailed analysis of the NIST AI Risk Management Framework
    • Development of risk-based profiles for AI systems
    • Risk mitigation strategies and metrics for success measurement

• Module 5: Practical workshops
  
  • Objective: Practical implementation of the learned GRC strategies in real scenarios. Participants apply theoretical knowledge in practical exercises and develop strategies for implementing GRC in their own projects.
  • Content:
    • Case Studies: Analysis of real AI projects in terms of GRC
    • Practical exercises for the development and implementation of GRC measures
    • Discussion on successful implementations and lessons learned

• Certification exam

Objectives:

• Gain understanding of the specifics of AI systems in the GRC context
• Understand the regulatory requirements of the EU AI Act
• Introduction to AI Management Systems (AIMS)
• Introduction to the NIST AI Risk Management Framework (AI RMF)
• Acquire knowledge about product liability and AI liability
  Ability to analyze relevant policies and procedures using concrete examples
• Ability to implement these functions for effective AI risk management within your organization

Additionally, the course provides a solid foundation for further advanced courses, such as:
AI100 Certified AI Officer
AI120 AIMS Implementation according to ISO/IEC 42001:2023
AI135 AI Auditor

Target audience:

• AI Strategists
• Compliance Officers
• Regulatory Officers
• IT Managers
• Subject Matter Experts in GRC

Prerequisites:

Description:

Exam:

Other Info: