Back to Search Start Over

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

Authors :
Brundage, Miles
Avin, Shahar
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
hÉigeartaigh, Seán Ó
Beard, Simon
Belfield, Haydn
Farquhar, Sebastian
Lyle, Clare
Crootof, Rebecca
Evans, Owain
Page, Michael
Bryson, Joanna
Yampolskiy, Roman
Amodei, Dario
Publication Year :
2018

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.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1802.07228
Document Type :
Working Paper