Praxikon
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The conclusion and your first steps

Direct answer

What counts as high risk, and is our system one of them?

You describe: You want to know whether your application falls into the regulation’s heaviest category, because nearly every further obligation depends on it. Likely role: deployer (the organisation).

This applies now

Coming up

High risk runs along two routes. Annex III lists eight domains including employment and worker management, education, credit and insurance, essential services, law enforcement, migration, justice and biometrics. Separately, AI is high risk when it is a safety component of a product already covered by EU product legislation. If you are in Annex III you may still fall outside it when the system performs only a narrow preparatory task and does not replace a human decision, but you have to record that assessment. The core obligations apply from 2 December 2027, and from 2 August 2028 for product-embedded AI.

Your first actions

  1. Justify the Article 6(3) exception against each individual condition. Name which of the four Article 6(3) conditions you invoke, with facts, and separately justify why the system poses no significant risk of harm to health, safety or fundamental rights and does not materially influence the outcome of decision making.
  2. Complete the conformity route before market placement. Select the correct assessment procedure, draw up the EU declaration of conformity, affix the CE marking and register in the EU database.
  3. Take role- and context-specific AI literacy measures. Determine for each role, system and context which combination of instruction, guidance, practice or training is appropriate.
Read the official sourceChecked on

General interpretation, not legal advice. Checked against Regulation (EU) 2024/1689 and the Digital Omnibus (EU) 2026/1744; the official source remains authoritative.

Full map for your situation

Execution

Record the classification in an AI register

A classification without a register and ownership is not demonstrable. Embed AI guides classification, register and reassessment in a fixed approach.

See the Embed AI approach
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