Saved in:
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.06299 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866914271623905280 |
|---|---|
| author | Schroeder, Daniel Thilo Cha, Meeyoung Baronchelli, Andrea Bostrom, Nick Christakis, Nicholas A. Garcia, David Goldenberg, Amit Kyrychenko, Yara Leyton-Brown, Kevin Lutz, Nina Marcus, Gary Menczer, Filippo Pennycook, Gordon Rand, David G. Ressa, Maria Schweitzer, Frank Song, Dawn Summerfield, Christopher Tang, Audrey Van Bavel, Jay J. van der Linden, Sander Kunst, Jonas R. |
| author_facet | Schroeder, Daniel Thilo Cha, Meeyoung Baronchelli, Andrea Bostrom, Nick Christakis, Nicholas A. Garcia, David Goldenberg, Amit Kyrychenko, Yara Leyton-Brown, Kevin Lutz, Nina Marcus, Gary Menczer, Filippo Pennycook, Gordon Rand, David G. Ressa, Maria Schweitzer, Frank Song, Dawn Summerfield, Christopher Tang, Audrey Van Bavel, Jay J. van der Linden, Sander Kunst, Jonas R. |
| contents | Advances in AI offer the prospect of manipulating beliefs and behaviors on a population-wide level. Large language models and autonomous agents now let influence campaigns reach unprecedented scale and precision. Generative tools can expand propaganda output without sacrificing credibility and inexpensively create falsehoods that are rated as more human-like than those written by humans. Techniques meant to refine AI reasoning, such as chain-of-thought prompting, can just as effectively be used to generate more convincing falsehoods. Enabled by these capabilities, a disruptive threat is emerging: swarms of collaborative, malicious AI agents. Fusing LLM reasoning with multi-agent architectures, these systems are capable of coordinating autonomously, infiltrating communities, and fabricating consensus efficiently. By adaptively mimicking human social dynamics, they threaten democracy. Because the resulting harms stem from design, commercial incentives, and governance, we prioritize interventions at multiple leverage points, focusing on pragmatic mechanisms over voluntary compliance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_06299 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | How malicious AI swarms can threaten democracy: The fusion of agentic AI and LLMs marks a new frontier in information warfare Schroeder, Daniel Thilo Cha, Meeyoung Baronchelli, Andrea Bostrom, Nick Christakis, Nicholas A. Garcia, David Goldenberg, Amit Kyrychenko, Yara Leyton-Brown, Kevin Lutz, Nina Marcus, Gary Menczer, Filippo Pennycook, Gordon Rand, David G. Ressa, Maria Schweitzer, Frank Song, Dawn Summerfield, Christopher Tang, Audrey Van Bavel, Jay J. van der Linden, Sander Kunst, Jonas R. Computers and Society Artificial Intelligence Computation and Language Machine Learning Advances in AI offer the prospect of manipulating beliefs and behaviors on a population-wide level. Large language models and autonomous agents now let influence campaigns reach unprecedented scale and precision. Generative tools can expand propaganda output without sacrificing credibility and inexpensively create falsehoods that are rated as more human-like than those written by humans. Techniques meant to refine AI reasoning, such as chain-of-thought prompting, can just as effectively be used to generate more convincing falsehoods. Enabled by these capabilities, a disruptive threat is emerging: swarms of collaborative, malicious AI agents. Fusing LLM reasoning with multi-agent architectures, these systems are capable of coordinating autonomously, infiltrating communities, and fabricating consensus efficiently. By adaptively mimicking human social dynamics, they threaten democracy. Because the resulting harms stem from design, commercial incentives, and governance, we prioritize interventions at multiple leverage points, focusing on pragmatic mechanisms over voluntary compliance. |
| title | How malicious AI swarms can threaten democracy: The fusion of agentic AI and LLMs marks a new frontier in information warfare |
| topic | Computers and Society Artificial Intelligence Computation and Language Machine Learning |
| url | https://arxiv.org/abs/2506.06299 |