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