ICSR News

Top row, left to right: David Autor, Sara Beery, Gabriele Farina, Sara Beery. Bottom row, left to right: Marzyeh Ghassemi and Yoon Kim.

MIT affiliates named 2024 Schmidt Futures AI2050 Fellows
MIT News | December 16, 2024

Marzyeh Ghassemi among those honored with fellowships to advance research on beneficial AI.

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a red paper airplane dodging obstacles that spell out risk to reach a bullseye

AI in health should be regulated, but don’t forget about the algorithms, researchers say
MIT News | December 16, 2024

In a recent commentary, a team from MIT, Equality AI, and Boston University including senior author Marzyeh Ghassemi highlights the gaps in regulation for AI models and non-AI algorithms in health care.

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Researchers reduce bias in AI models while preserving or improving accuracy
MIT News | December 13, 2024

New technique developed by researchers including senior author Marzyeh Ghassemi identifies and removes the training examples that contribute most to a machine-learning model’s failures.

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Catherine D'Ignazio

A data designer driven to collaborate with communities
MIT News | December 3, 2024

Associate Professor Catherine D’Ignazio thinks carefully about how we acquire and display data — and why we lack it for many things.

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Marzyeh Ghassemi

Improving health, one machine learning system at a time
MIT News | November 26, 2024

Marzyeh Ghassemi works to ensure health-care models are trained to be robust and fair.

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an illustrative collage of many different photos of people of various races all combined into one face

Empowering systemic racism research at MIT and beyond
MIT News | November 4, 2024

IDSS researchers in the MIT Initiative on Combatting Systemic Racism are building an open data repository to advance research on racial inequity in domains like policing, housing, and health care.

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illustration of different overlapping screens showing different faces with different skin tones and features

Empowering systemic racism research at MIT and beyond
September 19, 2024

Researchers in the cross-disciplinary Initiative on Combatting Systemic Racism are building an open data repository to advance research on racial inequity in domains like policing, housing, and healthcare.

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Cracked security cameras are connected by lines like a large language model. A house is in the middle.

AI could lead to inconsistent outcomes in home surveillance
MIT News | September 19, 2024

Research supported by the IDSS Initiative on Combatting Systemic Racism finds that large language models make inconsistent decisions about whether to call the police when analyzing surveillance videos.

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a selection of random x-ray images

Study reveals why AI models that analyze medical images can be biased
MIT News | July 18, 2024

Marzyeh Ghassemi, who leads the Healthcare team of the IDSS Initiative on Combatting Systemic Racism, examines how models which can predict a patient’s race, gender, and age may use those traits when making medical diagnoses.

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Nolen Scruggs

Camfield: a partnership for progress
May 10, 2024

Graduate student Nolen Scruggs works with a local tenant association to address housing inequality as part of the MIT Initiative on Combatting Systemic Racism.

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