4 papers
AI Incident Monitoring through a Public Health Lens
Sophia Abraham, Taiye Chen, Cyril Chhun +5
Artificial intelligence systems are now deployed at scale across sectors, accompanied by a growing number of real-world incidents ranging from misinformation and cybercrime to auto…
Scheming in the wild: detecting real-world AI scheming incidents with open-source intelligence
Tommy Shaffer Shane, Simon Mylius, Hamish Hobbs
Scheming, the covert pursuit of misaligned goals by AI systems, represents a potentially catastrophic risk, yet scheming research suffers from significant limitations. In particula…
Systematic Hazard Analysis for Frontier AI using STPA
Simon Mylius
All of the frontier AI companies have published safety frameworks where they define capability thresholds and risk mitigations that determine how they will safely develop and deplo…
Assessing confidence in frontier AI safety cases
Stephen Barrett, Philip Fox, Joshua Krook +3
Powerful new frontier AI technologies are bringing many benefits to society but at the same time bring new risks. AI developers and regulators are therefore seeking ways to assure…