AI Governance in a Changing Regulatory Environment

Overview

Explore global AI regulations and governance frameworks with Luis Martinez as he discusses compliance challenges, ethical considerations, and strategies for navigating the complex regulatory landscape of AI development.

Syllabus

• Introduction to AI Governance
Overview of AI Governance and its Importance
Key Stakeholders in AI Governance
• Global AI Regulatory Landscape
AI Regulations in North America
AI Regulations in Europe
AI Regulations in Asia-Pacific
Comparative Analysis of Global AI Regulatory Approaches
• Ethical Considerations in AI Development
Principles of Ethical AI
Real-World Ethical Dilemmas in AI
Impact of Ethical Considerations on AI Policy
• Compliance Challenges in AI
Understanding Compliance Requirements
Strategies for Ensuring Compliance
Case Studies of Non-Compliance
• Strategies for Navigating AI Regulations
Best Practices for Regulatory Compliance
Tools and Technologies for Compliance Monitoring
Building an Agile Compliance Framework
• Future Trends in AI Governance
Anticipated Regulatory Changes
Emerging Issues and Technologies Impacting AI Governance
Preparing for Future Governance Challenges
• Case Studies and Practical Applications
Real-World Examples of Governance Successes and Failures
Interactive Scenarios for Application of Learning
• Conclusion
Summary of Key Insights
The Path Forward for AI Governance
• Guest Lectures and Discussions (Luis Martinez)
In-depth Q&A Sessions
Collaborative Exercises on Navigating AI Regulations

Subjects

Computer Science