Explainable Artificial Intelligence (XAI) seeks to render the operation and decisions of complex machine learning systems transparent and interpretable to users, regulators and other stakeholders. As ...

A body of trustworthy AI research addresses interpretability, privacy, and robustness through rule-based modeling, federated learning, and adversarial defense. The studies explore how AI systems can ...

Finance has always rested on a simple moral contract. When decisions affect people's money, homes and futures, someone must be able to explain why those decisions were made. That principle once lived ...

As generative AI captures public attention, a different kind of AI is reshaping drug discovery. Machine learning models are helping to compress decade-long timelines and cracking problems that were ...