The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

This report surveys the landscape of potential security threats from malicious uses of AI, and proposes ways to better forecast, prevent, and mitigate these threats. After analyzing the ways in which AI may influence the threat landscape in the digital, physical, and political domains, we make four...

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Bibliographic Details
Published in:arXiv.org 2024-12
Main Authors: Brundage, Miles, Shahar Avin, Clark, Jack, Toner, Helen, Eckersley, Peter, Garfinkel, Ben, Dafoe, Allan, Scharre, Paul, Zeitzoff, Thomas, Filar, Bobby, Anderson, Hyrum, Roff, Heather, Allen, Gregory C, Steinhardt, Jacob, Flynn, Carrick, Seán Ó hÉigeartaigh, Beard, S J, Belfield, Haydn, Farquhar, Sebastian, Lyle, Clare, Crootof, Rebecca, Evans, Owain, Page, Michael, Bryson, Joanna, Yampolskiy, Roman, Amodei, Dario
Format: Article
Language:English
Subjects:
Artificial intelligence
Domains
Threat evaluation
Online Access:Get full text
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Summary:This report surveys the landscape of potential security threats from malicious uses of AI, and proposes ways to better forecast, prevent, and mitigate these threats. After analyzing the ways in which AI may influence the threat landscape in the digital, physical, and political domains, we make four high-level recommendations for AI researchers and other stakeholders. We also suggest several promising areas for further research that could expand the portfolio of defenses, or make attacks less effective or harder to execute. Finally, we discuss, but do not conclusively resolve, the long-term equilibrium of attackers and defenders.
ISSN:2331-8422