A trained decision-maker independently examines relevant | AIGP
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A trained decision-maker independently examines relevant: Which review arrangement is meaningful?

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

For a solely automated significant employment decision, meaningful review requires informed human assessment with real authority to alter the result.

The question

Under the EU GDPR, an employer’s AI recommends denying an employee’s promotion, and the recommendation is used as the sole basis for that significant decision. Which review arrangement is meaningful?

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  1. A trained decision-maker independently examines relevant evidence and can change the outcome. ✓
    Meaningful review requires informed human intervention, genuine assessment of the circumstances, and authority to depart from the recommendation.
  2. The employer lets the model run again using the employee’s updated records.
    A second automated run remains automated and does not provide an accountable person with authority to reassess the decision.
  3. A supervisor confirms the recommendation by signing a standard form.
    A signature without independent examination is a rubber stamp and does not provide meaningful human review of the significant decision.
  4. The employee receives a dashboard showing the model’s confidence score.
    A confidence score informs the recipient but does not itself create human authority to examine, challenge, and change the outcome.
The trap
Ask whether the reviewer can understand, question, and change the outcome; a signature or score display is insufficient.

How to remember it

For a solely automated significant employment decision, meaningful review requires informed human assessment with real authority to alter the result.

How many of these would you get right?

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