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.
Latest news in AI and society
New LiGO technique accelerates training of large machine-learning models, reducing the monetary and environmental cost of developing AI applications.
The prize is the top honor within the field of communications technology.
Regina Barzilay, other MIT community members elected to the National Academy of Engineering for 2023
Seven researchers, along with 14 additional MIT alumni, are honored for significant contributions to engineering research, practice, and education.
Department of EECS Assistant Professors Connor Coley and Dylan Hadfield-Menell have been named to the inaugural cohort of AI2050 Early Career Fellows by Schmidt Futures, a philanthropic initiative from Eric and Wendy Schmidt aimed at helping to solve hard problems in AI.
Six distinguished scientists with ties to MIT were recognized “for significant contributions in areas including cybersecurity, human-computer interaction, mobile computing, and recommender systems among many other areas.”