📜 Policy

This directory contains the top-level education and training policy for AITL Training.

It defines the authoritative principles that govern how AITL-related knowledge is
taught, evaluated, verified, and maintained across all training activities.

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🎯 Scope of This Policy

Documents in this directory define:

• 🔒 Non-negotiable principles of AITL education
• 🧭 Clear separation of responsibilities between:
  • Control (PID / FSM)
  • AI-based assistance (NN / RL)
  • Design-time intelligence (LLM)
• 📘 Alignment with ISO 9001 Clause 7.2 (Competence)

These principles exist to preserve engineering accountability, safety, and causal clarity.

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🧱 Policy Authority

This policy represents the highest-level normative reference within the AITL Training repository.

Accordingly:

• All training architecture
• All role-based training plans
• All training records
• All verification and competence criteria

must comply with this policy without exception.

No lower-level document may override, reinterpret, or dilute the principles defined here.

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⚠️ Design Responsibility Statement

AITL education explicitly does not transfer design responsibility to:

• AI tools
• Automation frameworks
• Educational materials themselves

Training under this policy ensures that human engineers remain accountable for:

• Design intent
• Engineering judgment
• Safety boundaries
• Final decisions

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🔖 Relation to ISO 9001

This policy supports:

• 📌 ISO 9001 Clause 7.2 (Competence)
• 📌 Traceability of education, training, and verification
• 📌 Auditable separation between education, assistance, and design responsibility

It serves as the policy anchor for audits, reviews, and continuous improvement activities.

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🛡 Note
This directory defines policy, not implementation guidance.
Detailed structures and procedures are defined in downstream directories,
all of which are constrained by this policy.