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AIGP · Question #15

All of the following are required for high-risk AI systems under the EU AI Act EXCEPT:

The correct answer is D. Publishing a detailed report on the training data used.. Option D is the exception because the EU AI Act does not require providers to publicly publish a detailed report on training data. While Article 10 mandates sound data governance practices and Article 11 requires technical documentation, these are internal compliance obligations

Legal and Regulatory Landscape

Question

All of the following are required for high-risk AI systems under the EU AI Act EXCEPT:

Options

  • ARetaining system-generated logs for at least six months.
  • BConducting post-market monitoring.
  • CConducting a conformity assessment.
  • DPublishing a detailed report on the training data used.

How the community answered

(18 responses)
  • A
    11% (2)
  • B
    6% (1)
  • D
    83% (15)

Explanation

Option D is the exception because the EU AI Act does not require providers to publicly publish a detailed report on training data. While Article 10 mandates sound data governance practices and Article 11 requires technical documentation, these are internal compliance obligations - not public disclosures. Publishing granular training data details could expose trade secrets and raise privacy concerns, so the Act deliberately stops short of mandating it.

The distractors are all genuine requirements: A is wrong because Article 12 mandates automatic logging with a retention period of at least six months (certain sectors require longer). B is wrong because Article 72 obliges providers to implement post-market monitoring systems to track real-world performance after deployment. C is wrong because Articles 43–48 require a conformity assessment - either self-assessed or via a notified body - before a high-risk system can enter the market.

Memory tip: Think of the three things you must do before, during, and after deployment - assess it (conformity), log it (six months), and monitor it (post-market). Publishing training data doesn't fit that lifecycle pattern, which is your signal that D is the odd one out.

Topics

#EU AI Act#high-risk AI#conformity assessment#post-market monitoring

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