Explaining Why the Computer Says No: Algorithmic Transparency Affects the Perceived Trustworthiness of Automated Decision‐Making.
Algorithms based on Artificial Intelligence technologies are slowly transforming street‐level bureaucracies, yet a lack of algorithmic transparency may jeopardize citizen trust. Based on procedural fairness theory, this article hypothesizes that two core elements of algorithmic transparency (accessi...
| Published in: | Public Administration Review Vol. 83; no. 2; pp. 241 - 263 |
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| Format: | Article |
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Wiley-Blackwell
Mar2023
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=162088320&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 162088320 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00333352 PBA jtl: Public Administration Review issn: 00333352 maglogo: Y pubinfo: dt: Mar2023 vid: 83 iid: 2 pid: 480 pub: Wiley-Blackwell artinfo: ui: 162088320 10.1111/puar.13483 ppf: 241 ppct: 22 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P size: 1.1MB tig: atl: Explaining Why the Computer Says No: Algorithmic Transparency Affects the Perceived Trustworthiness of Automated Decision‐Making. aug: au: Grimmelikhuijsen, Stephan affil: Utrecht University School of Governance su: Bureaucracy Trust Artificial intelligence Decision making Fraud Discretion sug: subj: Bureaucracy Trust Artificial intelligence Decision making Fraud Discretion ab: Algorithms based on Artificial Intelligence technologies are slowly transforming street‐level bureaucracies, yet a lack of algorithmic transparency may jeopardize citizen trust. Based on procedural fairness theory, this article hypothesizes that two core elements of algorithmic transparency (accessibility and explainability) are crucial to strengthening the perceived trustworthiness of street‐level decision‐making. This is tested in one experimental scenario with low discretion (a denied visa application) and one scenario with high discretion (a suspicion of welfare fraud). The results show that: (1) explainability has a more pronounced effect on trust than the accessibility of the algorithm; (2) the effect of algorithmic transparency not only pertains to trust in the algorithm itself but also—partially—to trust in the human decision‐maker; (3) the effects of algorithmic transparency are not robust across decision context. These findings imply that transparency‐as‐accessibility is insufficient to foster citizen trust. Algorithmic explainability must be addressed to maintain and foster trustworthiness algorithmic decision‐making. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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