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

    MEng graduate students engage with IBM to develop their research skills and solutions to real-world problems.

    Sixteen new professors join the MIT community, with research areas ranging from robotics and machine learning to health care and agriculture.

    A new technique boosts models’ ability to reduce bias, even if the dataset used to train the model is unbalanced.

    The Department of Electrical Engineering and Computer Science (EECS) is proud to announce the following promotions: Adam Belay is being promoted to Associate Professor Without Tenure, effective July

    Researchers have created a method to help workers collaborate with artificial intelligence systems.

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