Course curriculum

  1. 1

    • Evolution of AI in the Insurance Sector

    • The Regulatory Environment for AI in Insurance

    • Key Regulatory Bodies and Their Roles
  2. 2

    • Types of AI Algorithms in Insurance

    • Bias and Fairness in AI Models

    • Explainability and Transparency in AI Decision-Making
  3. 3

    • Compliance Standards and Frameworks

    • Ethical Considerations in AI Implementation

    • Privacy and Data Protection Laws in Insurance AI
  4. 4

    • Importance of AI Model Validation

    • Governance Structures for AI in Insurance

    • Risk Management in AI Implementation
  5. 5

    • AI Compliance Success Stories

    • Regulatory Challenges in AI Implementation

    • Learning from Industry Pioneers
  6. 6

    • Preparing for AI Audits and Assessments

    • Documentation and Reporting for Compliance

    • Addressing Regulatory Concerns and Inquiries