The future of our society is interwoven with the future of data-driven thinking—most prominently, artificial intelligence is set to reshape every aspect of our lives.
Research in this area studies the interface between AI-driven systems and human actors, exploring both the impact of data-driven decision-making on human behavior and experience, and how AI technologies can be used to improve access to opportunities. This research combines a variety of areas including AI, machine learning, economics, social psychology, and law.
Our research activities are complemented with initiatives aimed at educating students and practitioners on frontier AI technologies and their social, ethical and economic impact on society. Our goal is to produce leaders in the field across industry, government and academia. Faculty working in this area contribute to the influential policy work spearheaded by the Schwarzman College of Computing through its AI Policy Forum, which seeks to translate frontier AI principles into policy practice.
Human Guided Exploration (HuGE) enables AI agents to learn quickly with some help from humans, even if the humans make mistakes.
School of Engineering welcomes Songyee Yoon PhD ’00 as visiting innovation scholar
A visionary entrepreneur and innovator, Yoon will focus on entrepreneurship, supporting female engineers, and fostering inclusive innovation.
Mens, Manus and Machina (M3S) will design technology, training programs, and institutions for successful human-machine collaboration.
How machine-learning models can amplify inequities in medical diagnosis and treatment
MIT researchers investigate the causes of health care disparities among underrepresented groups.
The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.