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

2018/02/20 by Miles Brundage, Shahar Avin, Brundage, Miles +54 · 6 voices · 34 citations
Computer Science · #Blockchain Technology Applications and Security #Information and Cyber Security #Network Security and Intrusion Detection #cs.AI #cs.CR #cs.CY

paper · pdf · doi:10.48550/arxiv.1802.07228

openalex publication_date 2018/02/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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.

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