Healthy ML

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MIT scientists investigate memorization risk in the age of clinical AI

January 7, 2026

New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.

Four head and shoulder level silouettes filled with images of diverse faces.

Injecting fairness into machine-learning models

March 3, 2022

A new technique boosts models’ ability to reduce bias, even if the dataset used to train the model is unbalanced.

Machine-learning system flags remedies that might do more harm than good

December 13, 2021

The system could help physicians select the least risky treatments in urgent situations, such as treating sepsis.