Marzyeh Ghassemi

Researchers at MIT, NYU, and UCLA develop an approach to help evaluate whether large language models like GPT-4 are equitable enough to be clinically viable for mental health support.

In a recent commentary, a team from MIT, Equality AI, and Boston University highlights the gaps in regulation for AI models and non-AI algorithms in health care.

A new technique identifies and removes the training examples that contribute most to a machine-learning model’s failures.

The new crop of AI2050 Early Career Fellows was announced Dec. 10th.

Marzyeh Ghassemi works to ensure health-care models are trained to be robust and fair.