arXiv cs.CY· Daniel Thilo Schroeder, Philipp M. Lutscher, Samba Dialimpa Badji, Stefan Brenner, Wenchao Dong, Tsehaye Haidemariam, Saheed Bidemi Ibrahim, Amanuel Tesfaye Kebede, Jonas R. Kunst, Johannes Langguth, Pauline Lemaire, Mulatu Alemayehu Moges, Lukasz Olejnik, Kristin Skare Orgeret, Gerald Walulya·· 9 天前AI 评分28
恶意 AI 蜂群与自动化虚假信息：非洲民主与发展面临的风险
Automated Disinformation and Malicious AI Swarms: Risks for Democracy and Development in Africa
AI 导读
一篇 arXiv 前瞻性风险分析将"恶意 AI 蜂群"定义为面向影响力行动的协调、持续、自适应多智能体系统，与 AI 辅助内容生产和集中管理的合成人设相区分。研究以马里和埃塞俄比亚为例，指出非洲语言与训练数据的不对称可能既限制影响力能力、也削弱防御响应，混合人机操作或可结合自动化规模与本地可信度。
正文 · 原文
Authors:Daniel Thilo Schroeder, Philipp M. Lutscher, Samba Dialimpa Badji, Stefan Brenner, Wenchao Dong, Tsehaye Haidemariam, Saheed Bidemi Ibrahim, Amanuel Tesfaye Kebede, Jonas R. Kunst, Johannes Langguth, Pauline Lemaire, Mulatu Alemayehu Moges, Lukasz Olejnik, Kristin Skare Orgeret, Gerald Walulya
Abstract:Generative artificial intelligence is reshaping how information is produced, accessed, and circulated, while enabling disinformation campaigns of increasing scale and sophistication. There is currently no clear evidence that fully autonomous AI swarms conduct influence operations at scale, but their enabling capabilities are advancing. We define malicious AI swarms as coordinated, persistent, and adaptive multi-agent systems designed for influence operations, distinguishing them from AI-assisted content production and centrally managed synthetic personas. We examine their implications for hybrid regimes and conflict-affected states in Africa, where institutional constraints and fragile media environments may heighten vulnerability. Drawing on Mali and Ethiopia, we consider how automated influence could infiltrate communities, fabricate consensus, and erode trust in governance and development. The cases illustrate different configurations of state and non-state influence: competing actors in Mali's fragmented information environment, and more organized state-led strategies of narrative management in Ethiopia. African-language and training-data asymmetries may constrain influence capabilities while weakening defensive responses. Hybrid human-AI operations could combine automated scale and adaptation with local knowledge and credibility. This forward-looking risk analysis develops a scenario of increasingly accessible AI-driven coordination, rather than claiming that autonomous swarms are already operating at scale in Africa. We propose a layered governance approach linking technical safeguards to platform accountability, civic institutions, and regional coordination to protect democratic participation, peacebuilding, and development.
| Comments: | 26 pages |
| Subjects: | Computers and Society (cs.CY) |
| Cite as: | arXiv:2610.11930 [cs.CY] |
| (or arXiv:2610.11930v1 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2610.11930 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Daniel Thilo Schroeder [view email]
[v1]
Thu, 8 Oct 2026 13:25:21 UTC (38 KB)
来源：arXiv cs.CY · arxiv.org