Trustworthy ML for Healthcare: Challenges and Developments
Date:
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.