Units

1. Introduction to Artificial Intelligence in Actuarial Science: Roles, Boundaries, Authentication and Privacy 2. Damage Modeling: Frequency-Severity Discrimination and Artificial Intelligence Supported Analysis 3. Reserve (Provision) Account: Verification with IBNR, Chain Ladder and Artificial Intelligence 4. Pricing and Risk Classification: GLM, Tariffing and Artificial Intelligence 5. Life and Retirement Accounts: Mortality, Annuity and Liability 6. Data Preparation and Feature Engineering: Handling Actuarial Data with Artificial Intelligence 7. Scenario Analysis and Stress Testing: Managing Uncertainty 8. Solvency II, Capital Adequacy and Model Validation 9. Reporting and Communication: Actuary Report, Management Presentation and Regulatory Language 10. Ethics, Discrimination, Confidentiality and Professional Responsibility 11. End-to-End Actuarial Workflow, AI Integration and Future-proofing

Unit 10 / 11

Ethics, Discrimination, Confidentiality and Professional Responsibility

Gains:

Ability to audit indirect discrimination, justice and transparency principles in pricing and risk models with artificial intelligence support
Ability to implement KVKK/GDPR, data governance and explainability of model decisions together with actuarial ethical rules
Being able to understand that the use of artificial intelligence does not eliminate professional responsibility and that a faulty model has both ethical and legal consequences.

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