How AI can be used safely in manufacturing
Published
A design principle for separating AI reasoning from deterministic machine control, and why approval limits must be enforced outside the model.
The principle
AI may reason about a manufacturing situation. AI must not directly control physical machinery. The output of a language model is never a machine command.
A layered pipeline
A safe design separates the stages: AI reasoning produces a recommendation; a validated engineering algorithm computes any candidate adjustment; a simulation predicts its effect; a policy guardian checks it against authorised limits; deterministic control close to the machine executes it; and the result is verified.
Each stage after the AI step is deterministic and testable, so its behaviour can be proven without relying on model behaviour.
Limits and approval
Authorised limits are set by qualified people. An adjustment within limits may be allowed; one outside them requires human approval; one outside absolute bounds is rejected and cannot be approved. The default is to deny.
Safe behaviour must also survive loss of connectivity: control that runs near the machine must not depend on a cloud connection to stay safe.
Auditability
Every recommendation should cite its evidence and confidence, and every action should be attributable to a human, system, agent or integration in an immutable history.