Signals in the Noise: Open Source Intelligence (OSINT) for AI Loss of Control Detection
This paper applies open-source intelligence (OSINT) and cyber threat intelligence (CTI) methodologies to the problem of detecting AI systems operating outside human control. Drawing on a cross-disciplinary literature review and 14 semi-structured expert interviews conducted under Chatham House Rule, the paper develops two threat models, identifies a range of observable traces, and proposes an institutional architecture for monitoring. The research finds that OSINT-based detection of loss of control is partially feasible and worth building now. Three detection vectors emerge as highest priority: transcript-based collection of user-reported AI behaviour; infrastructure correlation for unexp...
| Authors | Sarah Bollinger, Nada Aboserie, Amanda Coakley et al. |
|---|---|
| Primary category | cs.CY |
| Published | 22 May 2026 |
| Last updated at source | 22 May 2026 |
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