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Machine Learning

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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?
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

Blog

The Uyghurs, Getting the World Vaccinated, Policing in America: RAND Weekly Recap

This weekly recap focuses on China's disappeared Uyghurs, how the United States can help get the rest of the world vaccinated, what's next for policing in America, and more.

May 7, 2021
Periodical

RAND Review: May-June 2021

The cover story highlights the value of invention, analyzing the economic and social impacts of winners of the Lemelson-MIT Prize. A second feature focuses on human rights abuses against ethnic Uyghurs in China and what we know from satellite images.

May 6, 2021
Report

Army Analytic Capabilities: A Case Study Within Army Contracting Command and Its Implications

The U.S. Army lacks access to modern, commonplace analytical data management tools, and its data are locked away in siloed and proprietary databases. To solve these two challenges, the authors found an effective, efficient, and quick path forward.

Apr 12, 2021
Commentary

Towards an AI-Based Counter-Disinformation Framework

Artificial intelligence is being used to develop sophisticated malign information on social media. But AI also provides opportunities to strengthen responses to these threats and can foster wider resilience to disinformation.

Mar 29, 2021
Journal Article

Technocultural Pluralism: A "Clash of Civilizations" in Technology?

This paper argues that future frictions and conflicts are more likely to stem from the interaction of technology cultures rather than just political or economic frictions.

Mar 10, 2021
Journal Article

Modeling Agent Behaviors for Policy Analysis Via Reinforcement Learning

This paper examines the value of reinforcement learning models as adaptive, high-performing, and behaviorally-valid models of agent decision-making in Agent-based Models.

Mar 9, 2021
Report

Technology Innovation and the Future of Air Force Intelligence Analysis: Technical Analysis

What are the near-term fixes to existing intelligence challenges? And where could artificial intelligence and machine learning be integrated in the future? An in-depth analysis explores technologies that could help the Air Force Distributed Common Ground System become more effective, efficient, and agile.

Jan 27, 2021
Report

Technology Innovation and the Future of Air Force Intelligence Analysis: Findings and Recommendations

Getting the right intelligence to the right people at the right time is increasingly difficult as the amount of data grows and timelines shrink. How can tools and technologies help the Air Force Distributed Common Ground System evolve to meet the challenges of synthesizing data effectively and efficiently?

Jan 27, 2021
Brochure

Spotlight 2020–2021

Spotlight 2020-2021 features examples of our research that helped to improve people's lives during a turbulent year. It also highlights a selection of research initiatives on the horizon for 2021.

Jan 26, 2021
Blog

Keeping COVID-19 Vaccines Moving, the Capitol Attack, Media Literacy: RAND Weekly Recap

This weekly recap focuses on keeping COVID-19 vaccines moving to save more lives; why we need a national commission to investigate the U.S. Capitol attack; media literacy as a tool to counter “Truth Decay,” and more.

Jan 22, 2021
Report

How Law Enforcement Can Mitigate Bias in Machine Learning Decision Aids

Bias in law enforcement systems that use artificial intelligence and machine learning can cause or exacerbate inequity. Agencies can avoid bias by establishing standards for measuring it, weighing the costs of biased outcomes, and providing workforce development and training in the emerging technologies.

Jan 21, 2021
Journal Article

Risk Prediction Tools: The Need for Greater Transparency

If risk prediction tools are to be used in clinical care, it is essential that they be vetted with the same care as any new drug or medical device.

Jan 15, 2021
Report

An Experiment in Tactical Wargaming with Platforms Enabled by Artificial Intelligence

RAND researchers explored the capabilities and limitations of future artificial intelligence and machine learning weapon systems in two wargame experiments that brought together operators and engineers.

Dec 29, 2020
Journal Article

Exploring the Application of Machine Learning for Downscaling Climate Projections

In this proof-of-concept study, datasets derived from both observations and climate models were used together to train and test statistical methods to downscale.

Dec 22, 2020
Journal Article

Approaches to Analyzing the Vulnerability of Community Water Systems to Groundwater Contamination in Los Angeles County

This paper details the objectives, process and lessons learned from a workshop-based research project that examined the spatial extent of groundwater contamination in Los Angeles County's groundwater basins.

Dec 22, 2020
Report

United States–Japan Research Exchange on Artificial Intelligence: Proceedings from a Pair of Conferences on the Impact of Artificial Intelligence on Work, Health, and Data Privacy and on Disaster Prediction, Resilience, and Recovery

This report captures insights from two conferences that brought together U.S. and Japanese experts on work, health, and data security and on disaster response and disaster modeling to exchange views on artificial intelligence and machine learning.

Dec 7, 2020
Commentary

Improving Cost Estimation for Natural Disasters in Electric Utilities

Natural disasters in the United States cause billions of dollars of damage to electric infrastructure every year. Applying artificial intelligence and machine learning in a disaster-recovery context for electrical utilities might significantly improve cost estimating capability and responsiveness.

Dec 4, 2020
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

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