County IT scores vendors for AI that influences benefit decisions. Which capability should weigh heavily in selection?

County IT scoring vendors for AI that influences benefit decisions should weigh explainability features that help staff understand and review AI-influenced benefit recommendations. That capability belongs in selection because benefit determinations implicate fairness, appeals, and public trust; staff need human-readable rationales and factor visibility to validate, correct, or escalate AI-influenced outcomes rather than rubber-stamp opaque scores.

Exclusive focus on humorous avatar skins for claimants fails conceptually because cosmetic UX does not provide decision rationale or oversight support. Ability to hide decision factors from all oversight staff fails because concealment defeats accountability, quality review, and appeal processes for civic benefits. Maximum automation with no human-readable rationale fails because full opacity prevents meaningful human review where municipal policy and equity obligations require it.

Exam caveat: explainability features vary in fidelity; superficial feature lists are not the same as faithful, contestable rationales tied to the actual model behavior. Operational check: score vendors on explanation quality with sample benefit cases, require staff-review workflows before finalization, and reject offerings that cannot produce auditable rationales for AI-influenced recommendations.