人工智能的恶意使用：预测、预防与缓解

Computer Science > Artificial Intelligence arXiv:1802.07228 (cs) [Submitted on 20 Feb 2018 (v1), last revised 1 Dec 2024 (this version, v2)] Title:The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation Authors:Miles Brundage, Shahar Avin, Jack Clark, Helen Toner, Peter Eckersley, Ben Garfinkel, Allan Dafoe, Paul Scharre, Thomas Zeitzoff, Bobby Filar, Hyrum Anderson, Heather Roff, Gregory C. Allen, Jacob Steinhardt, Carrick Flynn, Seán Ó hÉigeartaigh, SJ Beard, Haydn Belfield, Sebastian Farquhar, Clare Lyle, Rebecca Crootof, Owain Evans, Michael Page, Joanna Bryson, Roman Yampolskiy, Dario Amodei 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 PDF 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. Subjects: Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR); Computers and Society (cs.CY) Cite as: arXiv:1802.07228 [cs.AI] (or arXiv:1802.07228v2 [cs.AI] for this version) https://doi.org/10.48550/arXiv.1802.07228 Focus to learn more arXiv-issued DOI via DataCite Submission history 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) Full-text links: Access Paper: 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 PDF view license Current browse context: cs.AI new | recent | 2018-02 Change to browse by: cs cs.CR cs.CY References & Citations NASA ADS Google Scholar Semantic Scholar 2 blog links (what is this?) DBLP - CS Bibliography listing | bibtex Miles Brundage Shahar Avin Jack Clark Helen Toner Peter Eckersley … export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)