Document data-governance evidence: Which missing control | AIGP
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Document data-governance evidence: Which missing control is most direct?

AIGP Understanding How Laws, Standards and Frameworks Apply to AI Medium

The direct gap is evidence supporting data relevance, representativeness, and error handling for the high-risk system’s datasets.

The question

Under the EU AI Act, assume all relevant duties apply. A high-risk housing-application system uses historical application data. Technical documentation, risk management, transparency, human oversight, accuracy, robustness, cybersecurity, and monitoring are satisfied. The organization has no evidence that training and validation data are relevant, sufficiently representative of applicants, or reviewed for errors and gaps. Which missing control is most direct?

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  1. Add post-market performance monitoring
    Monitoring may detect later performance issues, but it does not establish the required pre-use evidence about training and validation data.
  2. Reassign deployer accountability
    Role clarification does not supply the missing evidence about data quality, representativeness, relevance, and identified gaps.
  3. Issue broader applicant notices
    Broader notices may improve transparency, but they do not establish relevance, representativeness, or error review for training and validation data.
  4. Document data-governance evidence ✓
    Documented evidence addressing relevance, representativeness, errors, and gaps directly resolves the identified data-governance deficiency.
The trap
Look for relevance, representativeness, errors, and gaps when evaluating high-risk training and validation data.

How to remember it

The direct gap is evidence supporting data relevance, representativeness, and error handling for the high-risk system’s datasets.

How many of these would you get right?

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