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Article 13 — Transparency and Information to Deployers

Providers must accompany high-risk AI systems with clear instructions for use, system characteristics, intended use, performance metrics, and the level of accuracy expected.

Audit-survivable
41%
of 50 EU-exposed enterprises in MindMap's 2026 readiness benchmark

What the Article requires

Article 13 requires providers to design high-risk AI systems with sufficient transparency to enable deployers to interpret outputs and use them appropriately. Instructions for use must include provider identity, system characteristics, intended use, level of accuracy/robustness/cybersecurity, foreseeable circumstances that may lead to risks, performance regarding specific groups, training data information, and the human-oversight measures designed in.

In engineering terms

For internal AI systems the 'deployer' is the customer's own operational teams; the documentation must enable the team to use the system within its intended scope. For vendor-supplied systems the deployer must validate that the vendor's Article 13 disclosures match the actual system behaviour. The most common gap: vendor disclosures are written for marketing rather than operational use.

Compliance checklist

  • ✓Clear instructions for use for downstream deployers
  • ✓Provider identity and contact information
  • ✓Intended-use boundary clearly specified
  • ✓Performance characteristics and limitations disclosed
  • ✓Human-oversight measures designed in and documented

Terms used here

EU AI ActAnnex III high-risk AI

All Articles in the reference · The EU AI Act compliance architecture

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Get the Article 13 checklist as a fill-in template

The EU AI Act Readiness Kit puts this checklist, and the other 13 Articles', into one fill-in PDF with room for an owner, evidence location and target date on every item. Plus an AI system inventory, a classification record, an Annex IV outline and a FRIA template.

  • 01How to use this kit. Four steps, and which checklists apply to each classification result.
  • 02AI system inventory. One row per AI system: owner, what it does, built or bought, your role and its classification.
  • 03Classification record. The five questions from our applicability checker, with space for answers, notes and the result.
  • 04Evidence checklists. 72 evidence items across Articles 9 to 15, 25, 26, 27, 50, 53, 55 and 72, each with an owner, evidence location and target date.
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