What You Need to Know Before
You Start

Starts 7 June 2025 12:56

Ends 7 June 2025

00 days
00 hours
00 minutes
00 seconds
course image

Risk-Based Governance and Regulation in AI - A Fundamental Guide

Discover how risk-based governance and regulation work in AI through a simplified, jargon-free approach designed for policymakers and industry professionals.
Asia Open RAN Academy via YouTube

Asia Open RAN Academy

2544 Courses


12 minutes

Optional upgrade avallable

Not Specified

Progress at your own speed

Free Video

Optional upgrade avallable

Overview

Discover how risk-based governance and regulation work in AI through a simplified, jargon-free approach designed for policymakers and industry professionals.

Syllabus

  • Introduction to AI Governance and Regulation
  • Overview of AI technologies and applications
    Importance of governance and regulation in AI
    Key stakeholders in AI governance
  • Understanding Risk in AI
  • Definition and types of risks associated with AI
    Identifying and assessing AI risks
    Case studies of AI risk incidents
  • Principles of Risk-Based Governance
  • Fundamentals of risk-based governance
    Comparing risk-based and compliance-based approaches
    Key principles for effective risk management
  • Regulatory Frameworks for AI
  • Existing international regulatory frameworks
    Emerging trends in AI regulation
    The role of standards and best practices
  • Designing Risk-Based AI Governance Structures
  • Steps for implementing risk-based governance
    Tools and methodologies for risk assessment
    Case examples of successful governance models
  • Ethical Considerations in AI Governance
  • Ensuring fairness and transparency
    Addressing bias and discrimination
    Balancing innovation with ethical considerations
  • Policymaking for AI Regulation
  • Role of policymakers in AI regulation
    Strategies for effective policy development
    Engaging stakeholders in the regulatory process
  • Industry Perspectives on AI Governance
  • Challenges faced by industry professionals
    Collaboration between industry and regulators
    Best practices from industry case studies
  • Future Directions in AI Governance and Regulation
  • Trends shaping the future of AI governance
    Anticipating future risks and regulatory needs
    Recommendations for policymakers and industry leaders
  • Conclusion and Final Thoughts
  • Recap of key principles and concepts
    Resources for continued learning
    Final Q&A and discussion
  • Assessment and Feedback
  • Course project or case study analysis
    Peer review and feedback sessions
    Course reflection and future application of skills

Subjects

Business