Algorithmic Trust and Decision Support in AI for Medicine

In this lesson, we’ll focus on the critical challenges of trust, accountability, and decision-making in AI for healthcare. We'll start by exploring the "black box" nature of AI and the importance of explainability and interpretability to make these systems more transparent and trustworthy. We’ll learn about Clinical Decision Support Systems (CDSS) and how they are transforming how clinicians make decisions, from drug management to diagnostics. But we’ll also dive into the ethical side of AI in healthcare, examining how biases can creep into AI models and the complex question of who’s responsible when things go wrong.