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Managing Risks Associated with AI Models

Managing Risks Associated with AI Models 

The seminar Managing Risks Associated with AI Models is organized as an open seminar, which can be attended by employees from various companies, as well as an in-house seminar, i.e., a seminar organized for the client's employees and tailored to their requirements.

Objectives of the seminar

This seminar focuses on the management of risks arising from the use of AI and ML models. Participants will learn about the main principles and tools for evaluating the performance, reliability, stability, and interpretability of these models’ outputs. The seminar is not designed as a theoretical exercise, but rather as a practical guide to effectively reducing the risks arising from the use of AI and ML models.

For whom it is intended

The seminar is intended for specialists in the fields of risk management, data analytics, internal validation, and audit who are involved in the development, testing, approval, and implementation of models not only in banks and other financial institutions, but also in any company that uses AI models.


 

Seminar content

It includes an explanation of the main differences between traditional statistical approaches and modern ML/AI algorithms, including examples of their application in the areas of credit, market, and operational risk. Emphasis is placed primarily on the process of back-testing and validation of these models, testing the stability of results, identifying errors, and assessing the models’ ability to respond to changes in data.

A part of the seminar is also devoted to the perspective of regulators (EBA, ECB) on the use and validation of ML/AI-based models, including considerations on model risk, data management, and documentation.

Date: 

  • 16. 6. 2026 Registration

Seminar details in PDF

Lecturers

Mgr. Ing. Václav Novotný


 
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