How malicious AI swarms can threaten democracy

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Publication Details

Journal
Science
Published
2026-01-22
DOI
https://doi.org/10.1126/science.adz1697
Citations
6
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
312.58
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article

How malicious AI swarms can threaten democracy

Nicholas A. Christakis, Daniel Thilo Schroeder, Gordon Pennycook, Nick Bostrom et al.
6 citations
Science
Adversarial Robustness in Machine Learning
312.58
article

How malicious AI swarms can threaten democracy

Nicholas A. Christakis, Daniel Thilo Schroeder, Gordon Pennycook, Nick Bostrom, Christopher Summerfield, Maria Ressa, Jonas R. Kunst, David G. Rand, Meeyoung Cha, F. Menczer, Andrea Baronchelli, Sander van der Linden, Kevin Leyton‐Brown, Yara Kyrychenko, David García, Nina Lutz, G. Marcus, Dawn Xiaoding Song, Amit Goldenberg, Audrey Tang, Frank Schweitzer
article en
6 citations

Abstract

No abstract available for this paper.
ScienceVol. 391(6783)
Harvard University (US), University of British Columbia (CA), St George's, University of London (GB), SINTEF (NO), BI Norwegian Business School (NO), University of Konstanz (DE), University of Washington (US), Cornell University (US), University of Cambridge (GB), Yale University (US), ETH Zurich (CH), University of Oxford (GB), Bridge University (SS), Max Planck Institute for Security and Privacy (DE), Development Initiatives (GB), Indiana University Bloomington (US), Ministry of Foreign Affairs (TW), SINTEF Digital, New York University (US), Columbia University (US), University of Asia and the Pacific (PH), Norwegian School of Economics (NO), University of California, Berkeley (US)
Openalex Percentile: Top 0%
Adversarial Robustness in Machine Learning
312.58
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