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Starts 27 June 2025 04:19

Ends 27 June 2025

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AI Governance Explained: Ensuring Compliance While Driving Innovation

Join us for an insightful journey into AI governance, where you'll learn how to strike the perfect balance between compliance and innovation. This course will delve into essential frameworks such as ISO 42001, GDPR, and the NIST AI RMF, providing you with the tools to build AI systems that are both trustworthy and transparent. Perfect for thos.
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Overview

Join us for an insightful journey into AI governance, where you'll learn how to strike the perfect balance between compliance and innovation. This course will delve into essential frameworks such as ISO 42001, GDPR, and the NIST AI RMF, providing you with the tools to build AI systems that are both trustworthy and transparent.

Perfect for those looking to enhance their understanding and application of AI governance strategies.

Syllabus

  • Introduction to AI Governance
  • Definition and Importance of AI Governance
    Key Challenges in AI Governance
  • Regulatory Frameworks Overview
  • ISO 42001: AI Management Systems
    General Data Protection Regulation (GDPR)
    NIST AI Risk Management Framework (AI RMF)
  • Balancing Compliance and Innovation
  • Strategies for Managing Compliance
    Encouraging AI Innovation within Regulatory Constraints
  • Designing Trustworthy AI Systems
  • Principles of Transparency and Explainability
    Ensuring Data Integrity and Security
  • Risk Assessment and Management
  • Identifying AI-Related Risks
    Developing Mitigation Strategies
  • Creating Ethical AI Policies
  • Understanding Bias and Fairness in AI
    Legal and Ethical Considerations
  • Building an AI Governance Framework
  • Key Components and Best Practices
    Roles and Responsibilities in Governance
  • Case Studies and Practical Applications
  • Analysis of Real-World AI Governance Scenarios
    Lessons Learned from Industry Leaders
  • Future Trends and Challenges
  • Emerging Technologies and Their Governance
    Predicting and Preparing for Future Regulations
  • Course Summary and Key Takeaways
  • Review of Main Points
    Actionable Steps for Implementing AI Governance

Subjects

Computer Science