This online course is tailored for a non-technical audience and explores AI’s transformative impact on financial services, primarily focusing on real-world cases. The course will start by presenting foundational AI concepts, illustrating its applications through accessible use cases of methods such as clustering analysis, random forest, neural networks, and Natural Language Processing. This will enable to introduce the main characteristics of AI models, including Generative AI (e.g., Large Language Models (LLM)). Live classes will focus into sector-specific use cases from the financial industry, covering different types of companies (start-ups, big tech, and incumbent financial institutions). The course will further address the critical aspects of governance and ethics in AI, against the background of the emerging regulatory framework in the area. Specific attention will be devoted to the supervisory implications of AI, providing insights on how supervisory authorities shall adapt to this technological evolution and navigate the challenges and opportunities presented by this rapidly advancing field.
Upcoming editions:
18 November – 13 December 2024
20 January – 14 February 2025
What is AI & ML, including generative AI (e.g. , LLM) – non-technical explanation;
In vitro show case of AI&ML applications;
Use cases of applications in the financial sectors by players (Big Tech; Startup; Incumbents);
Supervisory implications of AI in the financial sectors;
Regulatory framework concerning AI;
Responsible AI;
Governance of AI.
Basic and non-technical knowledge on how AI & ML works;
Capacity to recognise how AI & ML applications are changing the provision of financial services;
Capacity to identify the main elements of AI governance;
Capacity to understand the main ethics issues related to the application of AI/ML in the financial industry;
Basic knowledge of the main trends in the evolving AI regulatory framework.
This online module is designed for an audience without technical or quantitative backgrounds who would like to learn the impact of Artificial Intelligence (AI) and Machine Learning (ML) in the financial sector and the implications for supervisors.
ESAs, NCAs, Academia and Industry – FBF/EUI led by Nico Lauridsen
