Dan Huttenlocher is a professor of electrical engineering and computer science and the inaugural dean at MIT Schwarzman College of Computing.

New research ties inaccuracies in pulse oximeter readings to racial disparities in treatment and outcomes.

“Interpretability methods” seek to shed light on how machine-learning models make predictions, but researchers say to proceed with caution.

Methods that make a machine-learning model’s predictions more accurate overall can reduce accuracy for underrepresented subgroups. A new approach can help.

A model’s ability to generalize is influenced by both the diversity of the data and the way the model is trained, researchers report.

PhD student's research centers on ethics, including bioethics, and the philosophy of action.

Probabilistic programming language allows for fast, error-free answers to hard AI problems, including fairness.

Black women are more vulnerable than white men, illustrating how race and gender intersect to shape health outcomes.

Study: On social media, most people do care about accurate news but need reminders not to spread misinformation.

Convened by the MIT Schwarzman College of Computing, the AI Policy Forum will develop frameworks and tools for governments and companies to implement concrete policies.