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

    The MIT senior will pursue postgraduate studies in intelligent systems in Ireland.

    PhD student Heng Yang is developing algorithms to help driverless vehicles quickly and accurately assess their surroundings.

    The rigorous selection process for this prestigious fellowship took into account the two students’ outstanding track record of scientific achievement and inquiry, as well as their contributions to the STEM community.

    MIT professor Devavrat Shah shares how social media algorithms could be tweaked to curb the spread of misinformation and promote a diversity of viewpoints. Image: Allegra Boverman The specter

    Using computational tools, a research team was able to virtually unfold an unopened letter from 1697. Image courtesy MIT Libraries. An international team of scholars has read an

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