Talk, IBEC, Barcelona, Barcelona, Spain
As machine learning (ML) models are increasingly used in daily life, their trustworthiness is called into question. Large Language Models have put this into focus in the past few years. In this lecture, the different ways to achieve trust in healthcare will be covered, as well as remaining challenges.
Talk, Winkelhaak, Antwerp, Antwerp, Belgium
In this talk, we will discuss trustworthy ML (TML) and what it entails. We will explore the key challenges in ensuring TML in healthcare settings, such as data privacy, algorithmic bias, and model interpretability. Additionally, the talk will cover recent developments and strategies to overcome these challenges, emphasizing the importance of building reliable AI systems to improve patient outcomes and trust in healthcare technology.