AI safety is about making sure AI systems do what they are supposed to do and do not do things they should not. This includes preventing harmful outputs, avoiding misuse, ensuring consistent behavior across different users and conditions, and maintaining human oversight over consequential decisions.
An expense management agent restricted from approving transactions above a set threshold, unable to override finance team decisions, and required to log all actions regardless of outcome is implementing basic safety controls. Safety is not a philosophical concern — it is a set of design and configuration decisions made in every enterprise deployment.
