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Starts 27 June 2025 05:53

Ends 27 June 2025

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Mastering AI Governance: Challenges and Solutions Explained

Delve into the intricate world of AI governance with our course, "Mastering AI Governance: Challenges and Solutions Explained," provided by YouTube. This course is a treasure trove of insights into the hurdles faced in the governance of AI technologies and showcases the strategies needed for deploying AI ethically. Participant.
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Overview

Delve into the intricate world of AI governance with our course, "Mastering AI Governance:

Challenges and Solutions Explained," provided by YouTube. This course is a treasure trove of insights into the hurdles faced in the governance of AI technologies and showcases the strategies needed for deploying AI ethically.

Participants will gain knowledge about various frameworks that foster transparency, fairness, and accountability in artificial intelligence systems. Ideal for those interested in the fields of Artificial Intelligence and Computer Science, this course equips you with the tools to understand and implement effective AI governance solutions.

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