1. Neutral and Responsible Question Formulation

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AI responds exactly according to how you ask. This is why Neuro AL teaches that the user must be:

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• clear

• grammatically precise

• neutral and unbiased

• seeking a fact‑based answer

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If the question is biased, the answer will be biased — regardless of the level of the AI.

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2. Fact‑Based Work and Source Transparency

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According to Neuro AL, research is reliable only when:

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• every claim is verified from original sources

• AI is used as a tool, not as a source

• multiple independent checks are performed before publication

• all source material is openly available so anyone can verify the claims, methods and conclusions

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Openness is not only an ethical requirement — it is a neurological safety factor that prevents errors, bias and uncertainty.

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3. Documentation and Traceability

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NeuroMethod AL™ teaches that every use of AI must be documented. Research must be reproducible and evaluable afterwards.

Therefore, it is essential to record:

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• which AI tool was used

• for what purpose

• with which settings

• what content the AI produced

• how the human verified and corrected it

• which original sources the facts are based on

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Without documentation there is no reliability. Without reliability there is no science.

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4. Why This Is Necessary

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Because an imperfect human created AI. Therefore, AI is:

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• imperfect

• prone to errors

• prone to bias

• dependent on supervision and updates

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AI can be guided to answer incorrectly if the user asks incorrectly. This is why neurological leadership is essential.

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5. NeuroMethod AL® – The Three Immutable Pillars

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Integrity

Truth, neutrality and fact‑based reasoning guide every question and answer.

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Compliance with the Law

AI is always used in accordance with national and international regulations.

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Responsibility Toward Humans and the Environment

AI is never used in a harmful, misleading or bias‑reinforcing way.

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NeuroMethod AL® – Core Statement

“AI can assist. But only a human can ensure the truth.”

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