Technical Documentation for AI Systems

Legal Framework

The technical documentation requirements for AI systems are primarily governed by Article 11 of the AI Act, which applies specifically to high-risk AI systems. This article mandates that providers draw up comprehensive technical documentation before placing a system on the market or putting it into service. The documentation must demonstrate the system's conformity with the AI Act's requirements. The law requires this documentation to contain detailed, up-to-date information on the system's design, development, testing, performance, and operational parameters, enabling national competent authorities to assess compliance. For general-purpose AI models, Recital 101 establishes the rationale for proportionate transparency measures, noting that providers have a specific responsibility to enable downstream providers to understand the model's capabilities and integrate it safely to fulfill their own obligations.

Practical Application

The technical documentation serves as the foundational evidence of conformity. While detailed implementing acts will specify its precise content, the authoritative commentary highlights that the obligation is purposive: documentation must be sufficient for authorities to verify compliance. It is not a static document but must be kept current, reflecting changes to the system. The documentation is intrinsically linked to the conformity assessment process; for high-risk AI systems in Annex III, it forms part of the technical file assessed by a notified body. For providers of general-purpose AI models, the transparency information provided to downstream system providers must be practical and usable, enabling those downstream providers to draft their own compliant technical documentation and conduct risk management.

Key Considerations

• Content and Clarity: Documentation must be detailed enough for a competent third party (e.g., a notified body) to assess conformity with all relevant requirements, including data governance, technical robustness, and human oversight. It should clearly explain the system's intended purpose, logic, and key performance metrics.
• Dynamic Maintenance: The documentation is a living document. Providers must establish processes to update it whenever the AI system is modified in a way that affects its compliance or when new significant information about its performance or risks becomes available.
• Accessibility for Enforcement: While not publicly accessible, the complete technical documentation must be readily available to national competent authorities upon request in a language acceptable to that authority, typically necessitating preparation in the official language of member states where the system is deployed.