Constrain confidence-score use in customer workflows | AIGP
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Constrain confidence-score use in customer workflows: What should design address first?

AIGP Understanding How to Govern AI Development Hard

The evidence identifies foreseeable downstream misuse beyond extraction, requiring workflow constraints rather than accuracy improvements alone.

The question

A bank is designing document processing for loan files. The intended purpose is extracting fields for staff review, but testing shows users may also use confidence scores to reject incomplete applications automatically. Compliance staff can require workflow changes, while the vendor cannot constrain customer-configured rules. What should design address first?

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  1. Document intended extraction use for procurement records.
    Documenting intended use supports governance but is insufficient when foreseeable customer configuration can create consequential automated decisions.
  2. Constrain confidence-score use in customer workflows. ✓
    The foreseeable misuse is automatic rejection, so design should limit downstream use or require review before consequential decisions.
  3. Improve extraction accuracy on standard files.
    Standard-file accuracy does not address foreseeable automated rejection or the vendor’s inability to constrain customer-configured workflow rules.
  4. Add more examples of incomplete documents.
    Additional examples may improve extraction robustness but do not establish controls over rejection decisions made from confidence scores.
The trap
Trace outputs into real workflows; intended purpose does not control predictable customer-configured uses by itself.

How to remember it

The evidence identifies foreseeable downstream misuse beyond extraction, requiring workflow constraints rather than accuracy improvements alone.

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