AI Governance, Explainability & Communication for Actuaries

Introduction & Programme

Artificial intelligence and machine learning are reshaping actuarial practice – from pricing and reserving to risk management and board reporting. This web session guides participants through the practical lifecycle of AI adoption in actuarial work: setting up governance and model control frameworks for AI/ML models, opening the “black box” through explainability and causal fairness techniques, and translating technical model outputs into insights that boards and senior management can act on. Regulatory context (EU AI Act, Solvency II, IFRS 17) is combined throughout with hands-on, practical examples drawn from real actuarial use cases.

Preliminary Programme

All the above times are given in CEST (Central European Summer Time).

Learning Objectives & Approach

This web session combines regulatory context with hands-on, practical examples throughout. By the end, participants will be able to:

• Understand the key principles and regulatory expectations for AI governance and model control in actuarial practice (EU AI Act, model risk management, validation and monitoring)
• Apply explainability (SHAP) and causal fairness techniques to actuarial ML models (e.g. pricing and underwriting), and recognise and test for regulatory bias
• Translate technical model outputs into board-level insights, using practical reporting techniques to bridge quantitative models and governance decisions
  

Participants

This web session is designed for actuaries, risk managers and other professionals involved in the development, validation, governance or oversight of AI/ML models in insurance, as well as professionals responsible for communicating model-based insights to boards and senior management. A basic familiarity with statistical/ML concepts is helpful but not required.

Technical Requirements
Please check with your IT department if your firewall and computer settings support web session participation (the programme Zoom will be used for this online training). Please also make sure to join the web session with a stable internet connection.

Lecturers

Manuel Caccone
Manuel Caccone is Head of the Actuarial Function and Quant Actuary at Credemvita S.p.A. (Credito Emiliano Group), with around 11 years of quantitative actuarial experience in life and non-life insurance. He is a member of the IAA AI Task Force and co-founder of the Italian Order of Actuaries’ AI Task Force and teaches AI governance in Profession AI’s Master AI Solution Architect programme. His work focuses on the practical application of AI/ML in actuarial science, including model validation, explainability (SHAP) and causal fairness auditing of pricing and underwriting models.

Language & CPD Credits

The language of the web session will be English.

CPD Credits
For this web session, the following CPD credits are available under the CPD scheme of the relevant national actuarial association:

• Austria: 4 Points
• Belgium: 4 points
• Bulgaria: 6 Points
• Croatia: individual accreditation
• Czechia: 4 Hours
• Denmark: 4 credits
• Estonia: 4 Hours
• Finland: 4 points
• France: 24 Points
• Germany: 4 hours
• Greece: 5 Points
• Hungary: 4 Hours
• Iceland: 4 credits
• Ireland: 4 hours
• Italy: individual accreditation
• Latvia: 4 Hours
• Lithuania: 4 hours
• Netherlands: approx. 4 points (individual accreditation)
• Norway: 4 Points
• Poland: 4 hours
• Portugal: 4 Hours
• Serbia: 4 Hours
• Slovakia: individual accreditation
• Slovenia: individual accreditation
• Spain: CAC: 4 hours, IAE: 4 Hours
• Switzerland: individual accreditation
• USA: SOA (Section B): up to 4.8 hours

No responsibility is taken for the accuracy of this information.

Fees & Registration Details

Early Bird Registration Fee (until 26 April 2027):

• For private customers in the EU: €320.00 + VAT of the billing country (example Germany: €380.80 incl. 19% VAT)
• For private customers outside the EU: €380.80 (incl. 19% VAT)
• For businesses within the EU (excl. Germany, with valid VAT ID): €320.00 (net, reverse charge applies)
• For businesses in Germany: €380.80 (incl. 19% VAT)

Regular Registration Fee (from 27 April 2027):

• For private customers in the EU: €420.00 + VAT of the billing country (example Germany: €499.80 incl. 19% VAT)
• For private customers outside the EU: €499.80 (incl. 19% VAT)
• For businesses within the EU (excl. Germany, with valid VAT ID): €420.00 (net, reverse charge applies)
• For businesses in Germany: €499.80 (incl. 19% VAT)

Important VAT Information:

• For private customers with a billing address in an EU country: VAT will be charged at the applicable rate in the country of the billing address. The final amount, including VAT, will be calculated upon invoicing.
• For customers with a non-EU (third country) billing address: Only a non-company billing address is accepted for VAT compliance reasons. 19% VAT applies to all non-EU private customers.
• For businesses within the EU (excluding Germany), Iceland, Liechtenstein, Norway, Switzerland, and the UK with a valid VAT ID: The reverse charge mechanism applies (net price; VAT will not be charged). Please ensure your valid VAT ID is entered correctly during registration.
• For all customers with a billing address in Germany: 19% VAT applies.

Please submit your registration using our online form below. Closer to the event, you will receive further login details to join the web session.

Your registration is binding. Cancellation is only possible up to 2 weeks before the first day of the event. If you cancel later, the full participation fee is due. You may appoint someone to take your place but must notify us in advance. EAA has the right to cancel the event if the minimum number of participants is not reached.

We will send you an invoice via email. Please allow a few days for handling. Please always give your invoice number when you effect payment. All bank charges are to be borne by the participant.

Registration is open until two working days before the web session. If registration has already been closed for this web session, please call us or send an email to contact@actuarial-academy.com in order to find out whether a late registration is still possible.