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Authorizing AI agents: if it can act on its own, it must be constrainable
When an agent can place orders, send mail, and call tools on its own, permission boundaries and a kill switch matter more than raw model capability.
Agents that act autonomously are moving from demo to production, but when one errs while acting for a user or company, the liability and loss are real. The more capable it is, the more constraint matters.
The keys are least privilege, human confirmation for critical actions, complete action logs, and a switch to stop it at any time. Whether the user clearly granted what permissions is central to allocating responsibility.
The pragmatic approach is a clear permission list and spend caps for the agent, confirmation for irreversible actions, and liability defined in the terms. Autonomy brings efficiency and demands equal controllability.