How Malicious AI Swarms Can Threaten Democracy

Advances in AI portend a new era of sophisticated disinformation operations. While individual AI systems already create convincing—and at times misleading—information, an imminent development is the emergence of malicious AI swarms. These systems can coordinate covertly, infiltrate communities, evade traditional detectors, and run continuous A/B tests, with round-the-clock persistence. The result can include fabricated grassroots consensus, fragmented shared reality, mass harassment, voter micro-suppression or mobilization, contamination of AI training data, and erosion of institutional trust. With increasing vulnerabilities in democratic processes worldwide, we urge a three-pronged response: (1) platform-side defenses—always-on swarm-detection dashboards, pre-election highfidelity swarm-simulation stress-tests, transparency audits, and optional client-side “AI shields” for users; (2) model-side safeguards—standardized persuasion-risk tests, provenance-authenticating passkeys, and watermarking; and (3) system-level oversight—a UN-backed AI Influence Observatory.

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Publication Details

Published
2025-09-26
DOI
https://doi.org/10.31219/osf.io/qm9yk_v3
Primary Topic
Ethics and Social Impacts of AI
Type
article
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article

How Malicious AI Swarms Can Threaten Democracy

Nicholas A. Christakis, Daniel Thilo Schroeder, Gordon Pennycook, Filippo Menczer et al.
Ethics and Social Impacts of AI
article

How Malicious AI Swarms Can Threaten Democracy

Nicholas A. Christakis, Daniel Thilo Schroeder, Gordon Pennycook, Filippo Menczer, Amit Goldenberg, Nick Bostrom, Christopher Summerfield, David García Núñez, Jonas Rønningsdalen Kunst, Jay Joseph Van Bavel, David G. Rand, Frank Schweitzer, Meeyoung Cha, Andrea Baronchelli, Sander van der Linden, Audrey Tang, Kevin Leyton‐Brown, Yara Kyrychenko, Dawn Song, Nina Lutz, Gary Marcus
article en

Abstract

Advances in AI portend a new era of sophisticated disinformation operations. While individual AI systems already create convincing—and at times misleading—information, an imminent development is the emergence of malicious AI swarms. These systems can coordinate covertly, infiltrate communities, evade traditional detectors, and run continuous A/B tests, with round-the-clock persistence. The result can include fabricated grassroots consensus, fragmented shared reality, mass harassment, voter micro-suppression or mobilization, contamination of AI training data, and erosion of institutional trust. With increasing vulnerabilities in democratic processes worldwide, we urge a three-pronged response: (1) platform-side defenses—always-on swarm-detection dashboards, pre-election highfidelity swarm-simulation stress-tests, transparency audits, and optional client-side “AI shields” for users; (2) model-side safeguards—standardized persuasion-risk tests, provenance-authenticating passkeys, and watermarking; and (3) system-level oversight—a UN-backed AI Influence Observatory.

Massachusetts Institute of Technology (US)
Openalex Percentile: Top 74%
Ethics and Social Impacts of AI
DOISourceOpenAlex
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