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 9 / 11

Reporting and Communication: Actuary Report, Management Presentation and Regulatory Language

Gains:

Ability to draft the actuary report, management summary and regulator (SEDDK) communication according to the target audience with the support of artificial intelligence
Ability to apply uncertainty and assumptions transparently with artificial intelligence while translating the technical result (reserves, premium, capital) into management and sales language
Ensuring that each issue and legislative reference of the draft artificial intelligence remains the responsibility of the actuary who is linked to the source and signed it.

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