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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.

Report

The Risks of Bias and Errors in Artificial Intelligence

Apr 6, 2017

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.
Report

A Brief History of Artificial Intelligence

Dec 1, 1986

A brief history of RAND's research in artificial intelligence (AI) and expert systems from the development of one of the first stored-program digital computers, the JOHNNIAC, to the current work on AI technology and its uses, including work on expert systems, knowledge-based simulation, and human-oriented environments.

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Commentary

The Intersection of Algorithms and an Individual's Rights

Data collection, and our reliance on it, have evolved extremely rapidly. The resulting algorithms have proved invaluable for organizing, evaluating and utilizing information. How do individuals' rights come in to play, when data about their lives is compiled to create algorithms, and the resulting tools are applied to judge them?

Sep 29, 2017
Commentary

Artificial Intelligence and the Military

AI has many possible applications for the military, such as providing unpredictable and adaptive adversaries for training fighter pilots. But what are the implications of AI adoption?

Sep 7, 2017
Periodical

Periodical

RAND Review: July-August 2017

This issue highlights recent RAND research on the prevalence and burden of chronic health conditions; on the economic benefits of U.S. overseas security commitments; and on what RAND is doing to anticipate emerging global security challenges.

Jul 11, 2017
Q&A

Global Risks in 2040: Q&A with Andrew Parasiliti

Andrew Parasiliti discusses how the RAND Center for Global Risk and Security is envisioning the world in 2040, and the security challenges that will shape it.

Jun 30, 2017
Multimedia

What Is the Future of Artificial Intelligence?

In this Events @ RAND podcast, a panel of experts discusses the role of AI in society, including its incredible promise and the pressing concerns it presents.

Dec 14, 2016
Commentary

Killer Robots: Moral Concerns vs. Military Advantages

The U.S. military should balance Americans' ethical concerns over computers making life and death decisions with the need to maintain an edge in the face of rapid advances in artificial intelligence and machine learning across the globe.

Nov 4, 2016
Commentary

The Ethics of Artificial Intelligence in Intelligence Agencies

The defense community has already begun a healthy dialogue about the ethics of AI in combat systems. The intelligence community should develop standards for AI risk assessments and assign responsibility for conducting them.

Jul 18, 2016
Commentary

Should We Fear an AI Arms Race?

Stephen Hawking, Elon Musk, Steve Wozniak, and others signed a letter calling for a ban on the application of artificial intelligence to advanced weapons systems. AI weapons are not without risks, but the benefits are substantial and the risks can be mitigated with more moderate regulation than a ban.

Feb 8, 2016
Commentary

How to Overcome the Risks of Artificial Intelligence

The warnings and promises of artificial intelligence aren't new, but advances in technology make them more pressing.

Oct 22, 2015
Journal Article

Journal Article

Computer-assisted Reasoning

Computer models provide a powerful tool for reasoning about difficult problems.

Jan 1, 2001
Report

Report

Thinking About Opponent Behavior in Crisis and Conflict: A Generic Model for Analysis and Group Discussion

Draws on strategic analysis, cognitive psychology, gaming, and artificial intelligence modeling to describe a theory and concrete methodology for thinking about the likely and possible reasoning of opponents before or during crisis and conflict.

Jan 1, 1991
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The Nature of Modeling

This Note, reprinted from Artificial Intelligence, Simulation, and Modeling, Widman, Loparo, Nielson (eds.), John Wiley & Sons, Inc., 1989, attempts to define modeling precisely.

Jan 1, 1989
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Applying Artificial Intelligence Techniques to Strategic-Level Gaming and Simulation

This Note describes a large-scale program melding rule-based modeling and traditional simulation in the problem domain of game-structured military strategic analysis.

Jan 1, 1988
Report

Report

Dependencies, Demons, and Graphical Interfaces in the Ross Language

This Note is one aspect of RAND's investigation of the utility of knowledge-based artificial intelligence techniques to help solve deficiencies that exist in large-scale military simulations.

Jan 1, 1988
Report

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Potential applications of expert systems and operations research to space station logistics functions

This Note is the final report of an assessment study to determine the applicability of operations research, artificial intelligence, and expert systems to logistics problems for the space station, which must support multiple systems using only on-boa...

Jan 1, 1985
Report

Report

Applying Artificial Intelligence Techniques to Strategic-Level Gaming and Simulation

Describes a large-scale program melding rule-based modeling and traditional simulation in the problem domain of game-structured military strategic analysis in the RAND Strategy Assessment Center.

Jan 1, 1985
Report

Report

RAND's Experience in Applying Artificial Intelligence Techniques to Strategic-Level Military-Political War Gaming

This paper highlights, for those interested in advanced information science, some recent experience in RAND's Strategy Assessment Center (RSAC), a large-scale Department of Defense program to develop new concepts and techniques combining features ...

Jan 1, 1984
Report

Report

The RAND Strategy Assessment Center System Perspective

The RAND Strategy Assessment Center (RSAC) is a highly ambitious, multiyear research program to develop a system and methodology that combine the systematic reproducibility of analytic modeling/simulation with the behavioral richness of rule-based artificial intelligence technology.

Jan 1, 1984

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RAND Topic:
Artificial Intelligence

Topic Synonyms:
AI

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