Supervising and Regulating AI in the Financial Sector

Dates

07/04/2025 - 10/04/2025

Location

Florence

Level

Advanced training

Delivery mode

Residential

Course materials (registered participants only)

This course will present and discuss in-depth the main aspects of the supervision of AI in the financial sector. This advanced training will introduce the fundamentals of Generative AI (GenAI) models, will explore ethical challenges like bias and fairness, and it will outline the features of risk management frameworks aimed at ensuring responsible AI governance. It will also delve into AI governance principles – trustworthiness, transparency, and accountability – alongside analysing the different approaches to AI regulation; in this respect, the course will discuss the interplay between the AI Act and other regulatory measures applicable in the financial sector.
The course will also guide participants in understanding how risks in AI deployment in finance should be addressed, with a focus on market integrity and financial stability, and in using tools like LIME and SHAP to create explainable and auditable AI models. Practical components of the course cover AI model development, data management, and the ongoing monitoring of AI systems for robustness, security, and ethical compliance.
Through group activities, case studies, and discussions, participants will gain the skills necessary to further their understanding of the impact of AI in the financial sector and in daily supervisory activities.

From AI model to GenAI,
AI model development lifecycle and cost of AI,
Risk of AI in the financial sector,
AI governance: Trustworthiness and security,
Regulatory approaches to AI,
AI act,
The interplays with current finance regulatory frameworks,
High-risk use cases,
The supervision of AI in finance: Measuring and tools,
Panel on the evolution of AI.

Understanding the Fundamentals of GenAI Models,
Identifying and addressing the specific risks of deploying AI in the financial sector, such as market integrity, financial stability, and the concentration of power,
Exploring the main ethical dimensions of AI, such as bias, discrimination, and fairness, and their interconnectedness with financial risks. Learning to
devise and implement risk management systems, human oversight, and responsible AI governance to ensure ethical and secure outcomes,
Examining AI governance principles like trustworthiness, transparency, and accountability. Analysing and understanding the impact of regulatory frameworks like the AI Act and the role of financial regulatory measures in AI supervision,
Exploring techniques for creating explainable and auditable AI models (e.g., LIME, SHAP). Implementing data management practices to mitigate bias and ensure long-term robustness, security, and accuracy of AI systems.

Logistics

The foundational training weeks will be held at the FBF, within the premises of the EUI (Florence, Italy).
Each course will start on a Monday at 9 am and will end on a Thursday, approximately at lunch time.
FBF will reimburse travel in economy class (up to 450 euros) and accommodation for the duration of the course (up to 4 nights and up to a given ceiling), local public transportation and taxi expenses up to 100 €. Lunches, coffee breaks and a social dinner/activity, as indicated in the programme of every training week will be directly covered by FBF.
Accommodation expenses will be reimbursed to participants after the event according to the following ceiling: up to EUR 180 per night (city tax included), for a maximum of 4 nights
Training participants are responsible for booking both their flight and their accommodation in Florence. These expenses will be reimbursed after the end of the event upon the upload of the travel documentation and the relevant invoices (including boarding passes) to the online EUI reimbursement application (link and instructions will be duly shared with participants after the end of the event).
A list of conveniently located hotels will be provided to participants, but they are of course free to book hotels other than the ones suggested. In both cases, participants will be reimbursed up to the agreed ceiling and for single occupancy.
If participants book a hotel and share a double room, they must ask for the single room rate to be indicated on the hotel bill. Failing this, 25% of the price of the double room will be deducted from their reimbursement.
Participants can book their accommodation also on Airbnb, but in case they share the apartment with other people, the reimbursement will be divided by the number of guests.
A private transportation service will connect participants from/to Piazza dell’Indipendenza to/from the training venue every day. A detailed timetable will be provided before the starting of each training week.