The 9 Questions Are Not a Framework for Restricting AI

The 9 Questions are not designed to block or restrain AI.

Rather, they are a framework that enables today’s AI to safely execute physical actions within declared boundaries.

If we demand that AI judge everything on its own, we have no choice but to wait for AGI.

However, if the answers required for execution are pre-declared — or if the system is forced to ask for them — through manufacturers, users, and the field environment, even today’s AI can operate safely.

Why the 9 Questions Are Necessary

AI already has knowledge of ethics, law, medicine, and physics.

For instance, it may understand that lowering the temperature in a room with a patient could be dangerous.

However, it does not know whether there is a patient in this specific room right now.

This is not because the AI lacks intelligence.

It is because that specific information simply does not exist within the AI.

The arrival of AGI will not change this.

Higher intelligence cannot spontaneously generate undeclared real-time field information.

Three Limitations

• First, the limitation of data: what cannot be known through training

The current state of this room, the user’s actual intent, and the physical meaning engineered by the manufacturer do not exist within the training data.

This is a matter of information absence, not intelligence.

• Second, the limitation of inference: what cannot be resolved through thinking

Information that does not exist cannot be generated by thinking longer.

Deeper inference does not produce a more accurate answer.

It merely creates a more plausible guess.

• Third, the cost perspective: the dramatic reduction of inference cost

There is no need to exhaustively evaluate ethics, law, medicine, history, physics, and human preferences for every single action.

The system only needs to verify whether the answers required for execution have already been declared.

If they exist, the system executes within the declared boundary.

If they do not exist, it asks or stops.

This dramatically reduces inference cost while improving accuracy and safety.

The Goal Is Not Ethical Judgment

The objective is not to make AI judge more morally.

The goal is to verify whether the necessary answers exist before execution.

If an answer is missing, the AI should not infer further.

It must ask.

That answer does not reside within the AI’s inference.

It exists somewhere among the manufacturer’s specifications, the user’s intent, or the real-time state of the field.

Conclusion

This is not a simple AI safety checklist.

It is a pre-execution accident-prevention architecture.

And it works immediately with today’s AI, without waiting for AGI.