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Machine Learning

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Research Brief
Can Machine-Learning Tools Tell If You're Lying?
Four machine-learning models were tested to see how accurately they detected truthfulness and deceit during simulated security clearance background interviews. How people answered questions was just as important as what they said.
Oct 19, 2022
Report
Machine Learning in Public Policy
Machine learning (ML) can have a significant impact on public policy by modeling complex relationships and augmenting human decisionmaking. But overconfidence in results and incorrectly interpreted algorithms can lead to peril. With interpretability, ML can achieve its promise of more-equitable policy decisions.
Nov 15, 2022

Explore Machine Learning

Report
Advancing Equitable Decisionmaking for the Department of Defense Through Fairness in Machine Learning
This report provides policymakers and developers of machine learning algorithms with a framework and tools to produce algorithms that are consistent with the U.S. Department of Defense's equity priorities.
Jun 13, 2023
Blog
Immigration Policy, the Black-White Wealth Gap, ChatGPT: RAND Weekly Recap
This weekly recap focuses on the challenges facing U.S. immigration policy, what it would take to close America's Black-white wealth gap, risks and opportunities associated with artificial intelligence, more.
May 26, 2023
Q&A
AI, ChatGPT, and Language as Technology: Q&A with William Marcellino
William Marcellino, a senior behavioral and social scientist at RAND and professor at the Pardee RAND Graduate School, discusses the rapidly expanding reach of artificial intelligence, the challenges it could pose for both society and policymakers, and how the research community is poised to help.
May 12, 2023
Periodical
RAND Review: March-April 2023
The cover story describes how K-12 schools can build trust with students to increase threat reporting and strengthen school safety. The Q&A with Ashley Woo explores how restrictions on race- and gender-related topics are affecting teachers.
Mar 22, 2023
Report
Operational Feasibility of Adversarial Attacks Against Artificial Intelligence
Some fear that the U.S. Department of Defense's (DoD's) artificial intelligence systems are in peril from adversarial attacks. But many attacks appear operationally infeasible, so they pose less risk to DoD applications than the literature implies.
Dec 12, 2022
Blog
Putin's Gambits, Xi Jinping, Machine Learning: RAND Weekly Recap
This weekly recap focuses on Putin's latest “desperate measures” in Ukraine, support for Xi Jinping, whether machine-learning tools can tell if you're lying, and more.
Oct 21, 2022
Report
Looking for Lies: An Exploratory Analysis for Automated Detection of Deception
The authors of this report developed and tested the use of machine-learning methods to detect speech patterns that reflect attempts at deception or truthfulness during simulated security clearance background interviews.
Oct 19, 2022
Journal Article
Artificial Intelligence Applications Used in the Clinical Response to COVID-19: A Scoping Review
The authors identified 66 AI applications used to perform a wide range of diagnostic, prognostic, and triage functions in the clinical response to COVID-19. Some saw widespread use, though only a few were independently evaluated.
Oct 19, 2022
News Release
Life Sciences Sector on the Cusp of Realising Game-Changing Potential of Quantum Computing Technologies
While a growing body of evidence shows the possible disruptive impact of quantum technologies across many sectors in the future, until now there has been little study into the potentially transformative impact of quantum computing in the life sciences.
Oct 5, 2022
Report
Using Quantum Computers and Simulators in the Life Sciences: Current Trends and Future Prospects
We analysed the research landscape associated with the application of quantum technologies to the life sciences, highlighting current developments, opportunities and challenges, initiatives, and activities to help enable the ecosystem in the future.
Oct 5, 2022
Journal Article
Credit Building or Credit Crumbling? A Credit Builder Loan's Effects on Consumer Behavior and Market Efficiency in the United States
We use a randomized encouragement design and predictive modeling to examine impacts of a credit-builder loan (CBL) on borrowers, providers, and credit market information.
Sep 29, 2022
Commentary
Hack Post-Quantum Cryptography Now So That Bad Actors Don't Do It Later
The U.S. government should consider offering a public cash bounty to anyone who can crack the new forms of encryption that are being rolled out to defend against quantum computers. If a bounty helps catch a vulnerability before it's deployed, then the modest cost of the bounty could prevent much higher costs down the line.
Jul 28, 2022
Blog
Truth Decay, School Lunch Nutrition, Regulating Space: RAND Weekly Recap
This weekly recap focuses on tackling Truth Decay, how civilian tech experts view the military's use of artificial intelligence, a new approach to regulating outer space, and more.
May 13, 2022
Report
Exploring the Civil-Military Divide over Artificial Intelligence
Artificial intelligence is anticipated to be a key capability for enabling the U.S. military to maintain its dominance. How do software engineers and other technical staff in the industry view the defense community? Are they willing to contribute to AI-related projects for military use?
May 11, 2022
Report
Leveraging Machine Learning for Operation Assessment
This report shows how machine learning (ML) can support assessment of military operations by describing and illustrating the use of ML in systematically extracting assessment-relevant insights from intelligence, operational, and media reporting.
May 9, 2022
Blog
Helping Ukrainian Refugees, Truth Decay, Algorithmic Inequity: RAND Weekly Recap
This weekly recap focuses on how to help Ukrainian refugees, the link between cognitive processes and Truth Decay, tracking wastewater to understand the spread of COVID-19, and more.
Apr 1, 2022
Journal Article
Developing a Concept of Operations for Joint All-Domain Command and Control with an Embedded Role for Artificial Intelligence Applications
Given the increased complexity of multi-domain operations planning, the reduced timescales, and the greater data requirements, military planners will require new tools, including those based on artificial intelligence/machine learning.
Mar 29, 2022
Commentary
Algorithms Teach Us Why Equity Is Hard
If all the shortcomings of humanity were stripped away, equity would still be an elusive goal for algorithms for reasons that have more to do with mathematical impossibilities than backward ideologies. But even if attaining equity is fundamentally difficult, seeking it is not futile.
Mar 28, 2022

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Research conducted by

Researcher Spotlight

Giovanni Sean Paul Malloy

Associate Information Scientist

Giovanni Malloy is a researcher at the RAND Corporation with expertise in data science, artificial intelligence, decision analysis, mathematical modeling, and simulation. In his research, he develops new methods and leverages existing methods, such as machine learning, deep learning, data…
Bridget Kane

Bridget Kane is an information scientist at the RAND Corporation. She specializes in machine learning and intelligence topics, and has worked primarily with the Intelligence Community (IC) in the creation of analytic products and technical strategies. Since joining RAND, her work has focused on…

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