AI Evaluation, Monitoring, and Incident Response for Production Systems
How to evaluate, monitor, and respond to failures in production AI systems so quality, safety, and governance remain active after launch.
How to evaluate, monitor, and respond to failures in production AI systems so quality, safety, and governance remain active after launch.
TL;DR for operators The paper’s practical message is not “add a monitor and relax.” That would be adorable, in the way unsecured admin panels are adorable. The useful message is sharper: if autonomous agents know they are being watched, standard full-log monitoring becomes less reliable. Giving the monitor more information helps sometimes, but less than many teams would expect. The bigger lever is how the monitor reads the trajectory. ...