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- W3029127631 abstract "Public benefits programs help people afford necessities like food, housing, and healthcare. In the US, such programs are means-tested: applicants must complete long forms to prove financial distress before receiving aid. Online benefits screening tools provide a gloss of such forms, advising households about their eligibility prior to completing full applications. If incorrectly implemented, screening tools may discourage qualified households from applying for benefits. Unfortunately, errors in screening tools are difficult to detect because they surface one at a time and difficult to contest because unofficial determinations do not generate a paper trail. We introduce a method for auditing such tools in four steps: 1) generate test households, 2) automatically populate screening questions with household information and retrieve determinations, 3) translate eligibility guidelines into computer code to generate ground truth determinations, and 4) identify conflicting determinations to detect errors. We illustrated our method on a real screening tool with households modeled from census data. Our method exposed major errors with corresponding examples to reproduce them. Our work provides a necessary corrective to an already arduous benefits application process." @default.
- W3029127631 created "2020-06-05" @default.
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- W3029127631 date "2020-05-28" @default.
- W3029127631 modified "2023-10-18" @default.
- W3029127631 title "Exposing Error in Poverty Management Technology: A Method for Auditing Government Benefits Screening Tools" @default.
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- W3029127631 doi "https://doi.org/10.1145/3392874" @default.
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