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Machine Learning

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Report

How Well Is DoD Positioned for AI?

Dec 17, 2019

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.
Report

Machine Learning Can Help Detect Misinformation Online

Jun 23, 2020

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?

Explore Machine Learning

Report

Report

Operationally Relevant Artificial Training for Machine Learning: Improving the Performance of Automated Target Recognition Systems

The authors explore whether an object-detection model trained on artificial images could evaluate real images as an automated target recognition system, an important advancement in artificial intelligence and machine learning for the U.S military.

Nov 18, 2020
Multimedia

Using AI to Tackle Disinformation Online

RAND Europe analyst Linda Slapakova talks with RAND senior behavioral scientist William Marcellino about their study on human-machine detection of online-based malign information.

Oct 23, 2020
Report

Using Natural Language Processing to Code Patient Experience Narratives: Capabilities and Challenges

The authors demonstrate the feasibility of using natural language processing to extract key information from a large set of patient narratives about their health care experiences.

Oct 7, 2020
Dissertation

Climate Finance and Green Bond Evolution: Informing Policy with Machine Learning Text Analytics

Explores the evolution of themes associated with climate finance and green bonds to identify opportunities to enhance public-private cooperation and facilitate policymaking.

Aug 4, 2020
Blog

COVID Learning Loss, Russian Trolls, Artificial Intelligence: RAND Weekly Recap

This weekly recap focuses on helping students recover learning losses, fighting Russian trolls, racial disparity in unemployment benefits, the race for AI leadership, and more.

Jul 17, 2020
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
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
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
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
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
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
Content

Content

Michael Chaykowsky

Technical Analyst
Education M.S. in mathematics, Claremont Graduate University; B.A. in mathematical economics, Pitzer College
Content

Content

Nihar Chhatiawala

Assistant Policy Researcher, RAND; Ph.D. Student, Pardee RAND Graduate School
Education M.S. in physics and entrepreneurship, Case Western Reserve University; B.S.E. in engineering physics, Case Western Reserve University

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