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Starts 5 June 2025 18:37

Ends 5 June 2025

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Mastering AI Governance: Challenges and Solutions Explained

Explore the challenges of AI governance and discover effective solutions for ethical AI deployment, including frameworks that promote transparency, fairness, and accountability in AI systems.
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INFOSEC TRAIN

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Overview

Explore the challenges of AI governance and discover effective solutions for ethical AI deployment, including frameworks that promote transparency, fairness, and accountability in AI systems.

Syllabus

  • Introduction to AI Governance
  • Definition and Importance of AI Governance
    Historical Context and Evolution of AI Governance
  • Ethical Considerations in AI
  • Overview of AI Ethics
    Case Studies in Ethical AI Failures
    Building Ethical AI Systems
  • Key Challenges in AI Governance
  • Bias and Fairness in AI
    Transparency and the "Black Box" Problem
    Accountability in Automated Decision-Making
    Privacy Concerns and Data Protection
  • Legal and Regulatory Frameworks
  • Overview of Existing AI Regulations
    Global Perspectives: US, EU, and Beyond
    Balancing Innovation and Regulation
  • AI Transparency
  • Explainability and Interpretability Techniques
    Tools and Standards for Transparency
    Case Studies: Transparency in Practice
  • Ensuring Fairness in AI
  • Techniques for Bias Detection and Mitigation
    Best Practices for Fair AI Systems
    Measuring and Testing for Fairness
  • Accountability in AI Systems
  • Assigning Responsibility in Automated Systems
    Designing for Accountability
    Case Studies: Successful Accountability Practices
  • Governance Frameworks for AI
  • Overview of AI Governance Models
    Developing an Effective AI Governance Strategy
    Tools and Technologies Supporting Governance
  • Implementing Ethical AI Practices
  • Building an Ethical AI Roadmap
    Training and Engaging Stakeholders
    Continuous Monitoring and Evaluation
  • Case Studies and Real-world Applications
  • Analysis of Leading AI Governance Models
    Lessons Learned from High-profile AI Deployments
  • Future of AI Governance
  • Emerging Trends in AI Governance
    Preparing for Future Challenges in AI Safety and Security
  • Conclusion and Course Review
  • Recap of Key Learnings
    Impact of AI Governance on the Future of AI
    Open Discussion and Q&A Session

Subjects

Computer Science