AI in health should be regulated, but don’t forget about the algorithms, researchers say
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.
Beery, Farina, Ghassemi, Kim named AI2050 Early Career Fellows
The new crop of AI2050 Early Career Fellows was announced Dec. 10th.
Improving health, one machine learning system at a time
Marzyeh Ghassemi works to ensure health-care models are trained to be robust and fair.
3 questions: Leveraging insights to enable clinical outcomes
Thomas Heldt, associate director of IMES, describes how he collaborates closely with MIT colleagues and others at Boston-area hospitals.
Laura Lewis and Jing Kong receive postdoctoral mentoring award
Advisors commended for providing exceptional individualized mentoring for postdocs.
The career development chair recipients are Cheng-Zhi Anna Huang, Kuikui Liu, Marzyeh Ghassemi, Kaiming He, and Alexander Rives.
Department of EECS Announces 2024 Promotions
The Department of Electrical Engineering and Computer Science (EECS) is proud to announce multiple promotions.
Five MIT faculty, along with seven additional affiliates, are honored for outstanding contributions to medical research.
Five MIT faculty members named 2023 Simons Investigators
The Simons Investigator program supports “outstanding theoretical scientists who receive a stable base of research support from the foundation, enabling them to undertake the long-term study of fundamental questions.”