The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation
It addresses the problem of AI-driven security risks for policymakers, researchers, and the public, but is incremental as it builds on existing concerns without introducing new methods or data.
The report surveys potential security threats from malicious uses of AI across digital, physical, and political domains, and proposes recommendations for forecasting, prevention, and mitigation, including high-level suggestions for researchers and stakeholders.
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.