How malicious AI swarms can threaten democracy

Science 2026 Open access

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Authors: Daniel Thilo Schroeder, Meeyoung Cha, Andrea Baronchelli, Nick Bostrom, Nicholas A. Christakis, David García, Amit Goldenberg, Yara Kyrychenko, Kevin Leyton‐Brown, Nina Lutz, G. Marcus, F. Menczer
+10 more Gordon Pennycook, David G. Rand, Maria Ressa, Frank Schweitzer, Dawn Xiaoding Song, Christopher Summerfield, Audrey Tang, Jay J. Van Bavel, Sander van der Linden, Jonas R. Kunst
DOI: 10.1126/science.adz1697
Cited by: 23
References: 12

Abstract

The fusion of agentic AI and LLMs marks a new frontier in information warfare.

Fields of Study & Subjects

Adversarial Robustness in Machine Learning Ethics and Social Impacts of AI Network Security and Intrusion Detection

Publication details

Journal / source
Science
Publisher
American Association for the Advancement of Science (AAAS)
Volume
391
Issue
6783
Pages
354–357
Publication date
22 January 2026
Language
EN