Gitta Kutyniok - Reliability of artificial intelligence: chances and challenges - b=M2L 2024 - UAB

Barcelona Mathematics and Machine Learning (b=M2L) Colloquium Series
https://mat.uab.cat/bM2L

The Barcelona Mathematics and Machine Learning (b=M2L) Colloquium Series aims to bring to a general audience of mathematicians, computer scientists and interested students the interactions between mathematics and machine learning, as well as their latest developments. What are the mathematics behind machine learning? What can machine learning do for mathematicians?

Reliability of Artificial Intelligence: Chances and Challenges, 11th March 2024, 14:00 CET
Gitta Kutyniok - Ludwig Maximilian University, Munich

Abstract: Artificial intelligence is currently leading to one breakthrough after the other, both in public life with, for instance, autonomous driving and speech recognition, and in the sciences in areas such as medical imaging or molecular dynamics. However, one current major drawback worldwide, in particular, in light of regulations such as the EU AI Act and the G7 Hiroshima AI Process, is the lack of reliability of such methodologies. In this lecture, we will provide an introduction into this vibrant research area, focusing specifically on deep neural networks. We will discuss the role of a theoretical perspective to this highly topical research direction, and survey the current state of the art in areas such as explainability. Finally, we will also touch upon fundamental limitations of neural network-based approaches.

This activity is organized by the Department of Mathematics at the Universitat Autònoma de Barcelona with the goal of gathering together with the Barcelona universities and research centres with the global community.