It is okay to and save to have air huge agents to run without human oversight with the assumption that AI agents are already trained with a model that is fair and safe

there's the point of having AI agent is to sell it as a product of a business therefore it is too monetize it in order to monetize it you need to have it to be safe and to be proved that it is feasible to be used in the whole country therefore therefore having therefore having someone to check it before the AI agent is being rolled out is needed because that is where you test and pivot pivot before rolling out however after the AI agent is being sold to the public it must be sure that it is can be run safely therefore even therefore there should not be people watching it anymore because it is proven it works if it doesn't work and need someone to be checked then who will be checking imagine the divest agent booking flights

Training models to be inherently safe is the first line of defense, not the only one. In real-world deployment, safe models are paired with real-time guardrails (e.g., input/output filters, anomaly detection, rate limits) and post-execution auditing. Safe training minimizes the baseline risk so these secondary systems aren't overwhelmed