Alan Perotti

Co-design of Human-centered, Explainable AI for Clinical Decision Support

2023 · ACM Transactions on Interactive Intelligent Systems

eXplainable AI (XAI) involves two intertwined but separate challenges: the development of techniques to extract explanations from black-box AI models and the way such explanations are presented to users, i.e., the explanation user interface. Despite …

Evaluating Link Prediction Explanations for Graph Neural Networks

2023 · arXiv (Cornell University)

Graph Machine Learning (GML) has numerous applications, such as node/graph classification and link prediction, in real-world domains. Providing human-understandable explanations for GML models is a challenging yet fundamental task to foster their adoption, but validating …