Assess severity: What should guide the acceptance decision? | AIGP
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Assess severity: What should guide the acceptance decision?

AIGP Understanding How to Govern AI Development Medium

Low likelihood does not make severe harm acceptable; assess impact, mitigation, and documented residual-risk tolerance.

The question

In an EU public-benefit procurement, a vendor reports a very low error rate for an AI tool that recommends essential-service eligibility. A mistaken recommendation could seriously deprive a person of support. What should guide the acceptance decision?

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  1. Require a lower supplier price before approving deployment.
    Price may affect procurement value, but it does not address the severity or treatment of eligibility errors.
  2. Provide applicants with a general system notice.
    Notice may support transparency, but it does not by itself prevent serious errors or provide effective correction and remedy.
  3. Approve it once average accuracy exceeds the target.
    Average accuracy can hide consequential subgroup or edge-case failures and does not establish acceptable residual risk.
  4. Assess severity, mitigation, and residual-risk tolerance.
    A low error rate does not settle acceptance. The agency should assess the severity of possible deprivation, available mitigations, and whether documented residual risk is acceptable under applicable law and policy.
The trap
For rare but consequential failures, ask whether safeguards and acceptance criteria address the consequence, not merely the frequency.

How to remember it

Low likelihood does not make severe harm acceptable; assess impact, mitigation, and documented residual-risk tolerance.

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