Artificial Intelligence

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Technology, machines, and software that have the ability to be self-directed and learn from their actions are generally known as artificial intelligence. In the early days of computing, RAND researchers examined and tried to develop such technology and apply it for use in political and military simulations.

  • Equations and formulas behind scales of justice, images by monsitj and DNY59/Getty Images

    Report

    Addressing the Challenges of Algorithmic Equity

    Jul 11, 2019

    Social institutions increasingly use algorithms for decisionmaking purposes. How do different perspectives on equity or fairness inform the use of algorithms in the context of auto insurance pricing, job recruitment, and criminal justice?

  • Circuit board with chip with image of missile, photo by guirong hao/Getty Images

    Commentary

    AI for Peace

    Dec 13, 2019

    The United States should apply lessons from the 70-year history of governing nuclear technology by building a framework for governing AI military technology. An AI for Peace program should articulate the dangers of this new technology, principles to manage the dangers, and a structure to shape the incentives for other states.

Explore Artificial Intelligence

  • Content

    Andrew J. Lohn

    Information Scientist; Professor, Pardee RAND Graduate School
    Education Ph.D. in electrical engineering, University of California Santa Cruz; B.Eng. in engineering physics, McMaster University

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    Lance Menthe

    Senior Physical Scientist; Affiliate Faculty, Pardee RAND Graduate School
    Education Ph.D. in physics, University of California, Los Angeles; M.S. in physics, University of California, Los Angeles; B.A. in physics, economics, University of California, Berkeley

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    Jared Mondschein

    Associate Physical Scientist
    Education Ph.D. in chemistry, Penn State University; B.S. in chemistry, Union College

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    Katie Orlowsky

    Defense Policy Analyst
    Education MA in national securty studies, United States Naval War College; BA in political science, Oakland University

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    Osonde A. Osoba

    Co-Director, Center for Scalable Computing and Analysis; Professor, Pardee RAND Graduate School; Information Scientist;
    Education Ph.D. & M.S. in electrical engineering, University of Southern California; B.S. in electrical and computer engineering, University of Rochester

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    Edward Parker

    Associate Physical Scientist
    Education Ph.D. in physics, UC Santa Barbara; M.A. in physics, UC Santa Barbara; B.S. in physics, Brown University

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    Michelle Priest

    Assistant Policy Researcher, RAND; Ph.D. Candidate, Pardee RAND Graduate School
    Education B.A. in economics, University of California, Los Angeles; B.A. in linguistics, University of California, Los Angeles

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    Chandler Sachs

    Research Assistant
    Education B.S. in interdisciplinary studies, Cornell University

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    Keller Scholl

    Assistant Policy Researcher, RAND; Ph.D. Candidate, Pardee RAND Graduate School
    Education B.A. in philosophy, politics, and economics, University of Oxford

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    Danielle C. Tarraf

    Senior Information Scientist; Professor, Pardee RAND Graduate School
    Education Ph.D. in mechanical engineering (control theory), MIT; S.M. in mechanical engineering, MIT; B.E. in mechanical engineering, American University of Beirut

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    William Welser IV

    Adjunct Management Scientist; Professor, Pardee RAND Graduate School
    Education M.S. in finance, Boston College; M.B.A., Boston College; B.S. in chemical engineering, University of Virginia

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    Yuna Huh Wong

    Policy Researcher
    Education Ph.D. in policy analysis, Pardee RAND Graduate School; M.A. in political science, Columbia University; B.S. in political science and economics, Massachusetts Institute of Technology

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  • AI