As the School of Humanities, Arts, and Social Sciences marks 75 years, Dean Agustín Rayo reflects on how AI is reshaping higher education and why SHASS disciplines continue to be central to MIT’s mission.
As the NC Ethics of Technology Postdoctoral Fellow, Michal Masny is advancing dialogue, teaching, and research into the social and ethical dimensions of new computing technologies.
MIT researchers developed a testing framework that pinpoints situations where AI decision-support systems are not treating people and communities fairly.
Anthropologist Amy Moran-Thomas studies overlooked insights from people health care is meant to reach.
In Compton Lecture at MIT, social psychologist Jonathan Haidt warns of dramatic global decay in cognition, attention spans, and civic life, and urges curbs to tech use.
Research from the MIT Center for Constructive Communication finds leading AI models perform worse for users with lower English proficiency, less formal education, and non-US origins.
The context of long-term conversations can cause an LLM to begin mirroring the user’s viewpoints, possibly reducing accuracy or creating a virtual echo-chamber.
He joins Nikos Trichakis in guiding the cross-cutting initiative of the MIT Schwarzman College of Computing.
Professor Emilio Castilla explains how bias can creep into employers’ talent management processes — and what leaders can do to make their organizations fairer and more meritocratic.
New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.
Jack Carson, an MIT second-year undergraduate and EECS major, is the recent winner of the Elie Wiesel Prize in Ethics.
Study participants in an in-person tax-paying experiment in China were more likely to pay their taxes if government officials were monitoring and punishing corruption.
A new class teaches MIT students how to navigate a fast-changing world with a moral compass.
The MIT Ethics of Computing Research Symposium showcases projects at the intersection of technology, ethics, and social responsibility.
A new book from Professor Munther Dahleh details the creation of a unique kind of transdisciplinary center, uniting many specialties through a common need for data science.