Researchers argue that in health care settings, “responsible use” labels could ensure AI systems are deployed appropriately.
AI agents could soon become indistinguishable from humans online. Could “personhood credentials” protect people against digital imposters?
The department is pleased to announce the four inaugural recipients of the Transformative Research Fund, an exciting new funding opportunity designed to facilitate bold and pivotal research, especially that which applies recent breakthrough technologies (such as generative AI) to important problems with broad societal impact.
The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.
The program focused on AI in health care, drawing on Takeda’s R&D experience in drug development and MIT’s deep expertise in AI.
These models, which can predict a patient’s race, gender, and age, seem to use those traits as shortcuts when making medical diagnoses.
Ranking at the top for the 13th year in a row, the Institute also places first in 11 subject areas.
The Institute of Mathematical Statistics (IMS) fosters the development and dissemination of the theory and applications of statistics and probability.
The Institute also ranks second in five subject areas.
A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals.