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.
Q&A: A conversation with Helen Elaine Lee about her novel, “Pomegranate”
The MIT professor’s new book explores the world of a woman set free from prison and redefining herself in society.
Driving toward data justice
Senior Amelia Dogan brings together computer science, city planning, and American studies to work for social change.
Coding for health equity
Senior Mercy Oladipo is building tools to address disparities in health care.
3 Questions: Daniel Auguste on why “successful entrepreneurs don’t fall from the sky”
The MLK Visiting Professor studies the ways innovators are influenced by their communities.
3 Questions: Sulafa Zidani on tech, culture, and a critical transnational perspective
The media scholar speaks on her research and her experience at MIT.
Simulating discrimination in virtual reality
The role-playing game “On the Plane” simulates xenophobia to foster greater understanding and reflection via virtual experiences.
Math enthusiasts take aim at STEM glass ceiling
MIT hosts the 14th Math Prize for Girls, which aims to encourage female middle and high school students of mathematics.
Q&A: Melissa Nobles on guest-editing Nature to examine racism in science
MIT chancellor and colleagues help lead special project examining how bias has distorted the scientific enterprise — and how to make things better.
Empowering Cambridge youth through data activism
Mayor’s youth employment program brought local high schoolers to MIT this summer.
MIT releases strategic action plan for belonging, achievement, and composition
New initiatives will build on the Institute’s culture of excellence while enhancing diversity, equity, and inclusion within the MIT community.
Why it’s a problem that pulse oximeters don’t work as well on patients of color
New research ties inaccuracies in pulse oximeter readings to racial disparities in treatment and outcomes.
A technique to improve both fairness and accuracy in artificial intelligence
Methods that make a machine-learning model’s predictions more accurate overall can reduce accuracy for underrepresented subgroups. A new approach can help.
Intensive visiting nurse program doesn't impact birth outcomes, says ongoing study
First results underscore the urgent need for a better understanding of how to address inequities in birth outcomes.
Artificial intelligence predicts patients’ race from their medical images
Study shows AI can identify self-reported race from medical images that contain no indications of race detectable by human experts.