原文
[Submitted on 20 Feb 2018 (v1), last revised 1 Dec 2024 (this version, v2)]
View a PDF of the paper titled The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation, by Miles Brundage and 25 other authors
View PDFAbstract: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.
From: Miles Brundage [view email]
[v1] Tue, 20 Feb 2018 18:07:50 UTC (1,400 KB)
[v2] Sun, 1 Dec 2024 17:59:04 UTC (1,400 KB)
[v1] Tue, 20 Feb 2018 18:07:50 UTC (1,400 KB)
[v2] Sun, 1 Dec 2024 17:59:04 UTC (1,400 KB)