Regular biography
Finale Doshi-Velez is a Professor of Computer Science at Harvard University, affiliated with the John A. Paulson School of Engineering and Applied Sciences. Her primary teaching area is Computer Science, and she is associated with research areas including Applied Mathematics, Machine Learning, Artificial Intelligence, and Computational and Data Science. She is also recognized for her contributions to mentoring, as evidenced by her receipt of the Everett Mendelsohn Excellence in Mentoring Award. Her work explores the intersection of technology and society, with a focus on ethical and equitable AI systems.
Scholar-generated biography
Finale Doshi-Velez is a Professor at Harvard University, specializing in Machine Learning and Health. Her research focuses on developing interpretable and responsible machine learning systems for healthcare applications. She explores methods to enhance the transparency, accountability, and ethical use of AI in clinical settings. Her work includes improving adversarial robustness, decomposing uncertainty in Bayesian deep learning, and creating frameworks for explainable reinforcement learning. Doshi-Velez also investigates how machine learning recommendations influence clinical decision-making and addresses ethical challenges in deploying AI in medicine. Her research emphasizes the importance of generalizability, fairness, and human-interpretability in healthcare AI.