Meaningful Human Control
A regulatory and operational standard ensuring that humans retain the ability to oversee, intervene in, and override AI decision-making processes.
In the context of Agentic AI, "control" does not necessarily mean a human must approve every single micro-decision, which would negate the speed benefits of automation. Instead, it refers to the design of the system: setting clear operational boundaries, ensuring the AI is transparent about its status as a machine, and implementing a functional "kill-switch" that allows a human operator to immediately halt the system if it deviates from its intended goals or safety parameters.
A logistics company uses an autonomous AI scheduler to route delivery trucks in real-time. "Meaningful human control" is maintained not by a dispatcher approving every turn, but by a dashboard that allows the dispatcher to define "No-Go Zones" and instantly recall all trucks to the depot (the kill-switch) in the event of a severe weather alert or system malfunction.
“What used to take weeks of manual reviews and policy work is now structured and auditable in Enzai within minutes. It’s the first time AI governance has felt operational, not theoretical.”
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