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

    Jack Cook, Matthew Kearney, and Jupneet Singh will begin postgraduate studies at Oxford University next fall.

    Models trained on synthetic data can be more accurate than other models in some cases, which could eliminate some privacy, copyright, and ethical concerns from using real data.

    Yilun Du, a PhD student and MIT CSAIL affiliate, discusses the potential applications of generative art beyond the explosion of images that put the web into creative hysterics.

    On October 6, nearly 50 undergraduate and graduate students and postdocs, primarily from MIT, attended the MIT-IBM Watson AI Lab’s networking event. The goal was to connect young

    The Department of Electrical Engineering and Computer Science (EECS) recently announced the following crop of chair appointments, all effective July 1, 2022. Karl Berggren has been named the

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