Machine Learning

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  • The Patrick Air Force Base Honor Guard waits for the open ranks inspection portion of the 2004 Air Force Space Command honor guard competition here March 23, photo by Tech. Sgt. Ken Bergmann/U.S. Air Force

    Report

    Can Artificial Intelligence Help Improve Air Force Talent Management?

    Jan 19, 2021

    An AI-enabled performance-scoring system could enable the U.S. Air Force to leverage existing data for improved human resource management policies and practices. How could this help senior leaders take full advantage of performance records when making talent management decisions?

  • Network illustrations depicting online conspiracy theories, images by miakievy and Cecilia Escudero/Getty Images

    Report

    Machine Learning Can Detect Online Conspiracy Theories

    Apr 29, 2021

    As social media platforms work to prevent malicious or harmful uses of their services, an improved model of machine-learning technology can detect and understand conspiracy theory language. Insights from this modeling effort can help counter the effects of online conspiracies.

Explore Machine Learning

  • China's flag superimposed over a computer chip, illustration by IvancoVlad/Getty Images

    Report

    What If China Becomes the World Leader in AI Innovation?

    Artificial intelligence technologies may become critical force multipliers in future armed conflicts. China has prioritized AI to enhance its national competitiveness and security. If its plan is successful, China will achieve a substantial military advantage over the United States and its allies by 2030.

    Jul 8, 2020

  • Virtual human 3D illustration with computer code, photo by monsitj/Getty Images

    Commentary

    A Machine Learning Approach Could Help Counter Disinformation

    Disinformation has become a central feature of the COVID-19 crisis. This type of malign information and high-tech “deepfake” imagery poses a risk to democratic societies worldwide by increasing public mistrust in governments and public authorities. New research highlights new ways to detect and dispel disinformation online.

    Jun 25, 2020

  • Illustration of social media users and trolls, image by dem10/Getty Images

    Report

    Machine Learning Can Help Detect Misinformation Online

    As social media is increasingly being used as a primary source for news, there is a rising threat from the spread of malign and false information. A new machine learning model identified differences between authentic political supporters and Russian trolls shaping online debates about the 2016 U.S. election. How could the model be applied in the future?

    Jun 23, 2020

  • Report

    Report

    Air Dominance Through Machine Learning: A Preliminary Exploration of Artificial Intelligence–Assisted Mission Planning

    U.S. air superiority is being challenged by global competitors. In this report, the authors prototype a new artificial intelligence system to help develop and evaluate concepts of operations for the air domain.

    May 29, 2020

  • Robot Detection U.S. Air Force Airman Gevoyd Little operates his remote explosive detection robot during Operation Falcon Sweep in the Village of Shakaria, Iraq, Jan. 11, 2006, photo by Kevin L. Moses Sr./U.S. Air Force

    Commentary

    How to Train Your AI Soldier Robots (and the Humans Who Command Them)

    While AI-enabled robots will have human-like characteristics, they will likely develop distinct personalities of their own. The military will need an extensive training program to inform new doctrines and concepts to manage this powerful, but unprecedented, capability.

    Feb 21, 2020

  • Computer simulation of military aircraft and missiles, photo by Devrimb/Getty Images

    Report

    How Well Is DoD Positioned for AI?

    The U.S. Department of Defense has articulated an ambitious vision and strategy for artificial intelligence. But if it wants to get the maximum benefit from AI-enhanced systems, then it will need to improve its posture along multiple dimensions.

    Dec 17, 2019

  • U.S. Marines with 1st Tank Battalion, 1st Marine Division participate in a field exercise (FEX) at Marine Corps Air Ground Combat Center Twentynine Palms, California, Oct. 22, 2019, photo by Sgt. Miguel A. Rosales/U.S. Marine Corps

    Commentary

    First, Manage Security Threats to Machine Learning

    Deception is as old as warfare itself. Until now, the targets of deception operations have been humans. But the introduction of machine learning and artificial intelligence opens up a whole new world of opportunities to deceive by targeting machines.

    Nov 4, 2019

  • Journal Article

    Journal Article

    An Artificial Intelligence/Machine Learning Perspective on Social Simulation: New Data and New Challenges

    We review issues of data infrastructure and artificial intelligence for social and behavioral modeling. Among the newer machine learning methods,adversarial training and fuzzy cognitive maps have particular unrealized potential.

    Jun 11, 2019

  • Journal Article

    Journal Article

    Machine Learning Versus Standard Techniques for Updating Searches for Systematic Reviews: A Diagnostic Accuracy Study

    Machine-learning methods can help decrease the effort involved in updating searches for systematic reviews.

    Aug 1, 2017

  • Humanoid robot touching a computer screen

    Report

    The Risks of Bias and Errors in Artificial Intelligence

    Machine learning algorithms and artificial intelligence (AI) influence many aspects of life today. These agents are not exempt from errors or bias because they are designed, built, and taught by humans. While AI has great promise, using it introduces a new level of risk and complexity in policy.

    Apr 5, 2017

  • Journal Article

    Journal Article

    Machine Learning Methods in Systematic Reviews: Identifying Quality Improvement Intervention Evaluations

    Electronic searches typically yield far more citations than are relevant, and reviewers spend a substantial amount of time screening titles and abstracts to identify potential studies eligible for inclusion in a review.

    Sep 1, 2012

  • Journal Article

    Journal Article

    A Pilot Study Using Machine Learning and Domain Knowledge to Facilitate Comparative Effectiveness Review Updating

    Comparative effectiveness reviews need to be updated frequently to maintain their relevance.

    Sep 1, 2012

  • Report

    Report

    Machine methods for acquiring, learning, and applying knowledge

    Recent advances in intelligent systems have emphasized the use of "expert knowledge" to solve problems. This paper describes a plan for attacking problems impeding development of such systems. The authors identify two chief problems as knowledge prog...

    Jan 1, 1978

  • People

    People

    Yuji Mizushima

    Ph.D. Student, Pardee RAND Graduate School, and Assistant Policy Researcher, RAND
    Education M.A. in economics, Waseda University; B.A. in political science and economics, Waseda University

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    People

    Shreyas Bharadwaj

    Technical Analyst
    Education M.S., Stanford University; M.S., Georgetown University; B.S. in neurobiology, physiology, and behavior, University of California, Davis

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    People

    Mohammad Ahmadi

    Ph.D. Student, Pardee RAND Graduate School, and Assistant Policy Researcher, RAND
    Education M.P.S.A. in public service and administration, Texas A&M University; B.Eng. in civil engineering, Herat University

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    People

    Thomas Edward Goode

    Statistical Analyst
    Education M.S. in statistical practice, Carnegie Mellon University; B.S. in statistics, Carnegie Mellon University

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    People

    Alexander C. Hou

    Senior Engineer
    Education M.S. in science, tech & public policy, MIT; M.S. in aero/astro engineering, MIT; B.S. in aero/astro engineering, MIT

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    People

    Eddie Lopez III

    Assistant Policy Researcher, RAND; Ph.D. Student, Pardee RAND Graduate School
    Education B.S. in astronautical engineering, United States Air Force Academy

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    People

    Toyya Pujol-Mitchell

    Operations Researcher
    Education Ph.D. in industrial engineering, Georgia Institute of Technology-Main Campus; M.S. in statistics, Georgia Institute of Technology-Main Campus; M.S. in operations research, Northeastern University; B.S. in management science, Massachusetts Institute of Technology