How an archeological approach can help leverage biased data in AI to improve medicine
Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values.
Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values.
The MIT professor’s new book explores the world of a woman set free from prison and redefining herself in society.
Senior Amelia Dogan brings together computer science, city planning, and American studies to work for social change.
Senior Mercy Oladipo is building tools to address disparities in health care.
The MLK Visiting Professor studies the ways innovators are influenced by their communities.
The media scholar speaks on her research and her experience at MIT.
The role-playing game “On the Plane” simulates xenophobia to foster greater understanding and reflection via virtual experiences.
MIT hosts the 14th Math Prize for Girls, which aims to encourage female middle and high school students of mathematics.
MIT chancellor and colleagues help lead special project examining how bias has distorted the scientific enterprise — and how to make things better.
Mayor’s youth employment program brought local high schoolers to MIT this summer.
New initiatives will build on the Institute’s culture of excellence while enhancing diversity, equity, and inclusion within the MIT community.
New research ties inaccuracies in pulse oximeter readings to racial disparities in treatment and outcomes.
Methods that make a machine-learning model’s predictions more accurate overall can reduce accuracy for underrepresented subgroups. A new approach can help.
First results underscore the urgent need for a better understanding of how to address inequities in birth outcomes.
Study shows AI can identify self-reported race from medical images that contain no indications of race detectable by human experts.