The perils and pitfalls of explainable AI: Strategies for explaining algorithmic decision-making Article Swipe
Hans de Bruijn
,
Martijn Warnier
,
Marijn Janssen
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.giq.2021.101666
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.giq.2021.101666
Governments look at explainable artificial intelligence's (XAI) potential to tackle the criticisms of the opaqueness of algorithmic decision-making with AI. Although XAI is appealing as a solution for automated decisions, the wicked nature of the challenges governments face complicates the use of XAI. Wickedness means that the facts that define a problem are ambiguous and that there is no consensus on the normative criteria for solving this problem. In such a situation, the use of algorithms can result in distrust. Whereas there is much research advancing XAI technology, the focus of this paper is on strategies for explainability. Three illustrative cases are used to show that explainable, data-driven decisions are often not perceived as objective by the public. The context might raise strong incentives to contest and distrust the explanation of AI, and as a consequence, fierce resistance from society is encountered. To overcome the inherent problems of XAI, decisions-specific strategies are proposed to lead to societal acceptance of AI-based decisions. We suggest strategies to embrace explainable decisions and processes, co-create decisions with societal actors, move away from an instrumental to an institutional approach, use competing and value-sensitive algorithms, and mobilize the tacit knowledge of professionals
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- Type
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- Language
- en
- Landing Page
- https://doi.org/10.1016/j.giq.2021.101666
- OA Status
- hybrid
- Cited By
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- References
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4205177168Canonical identifier for this work in OpenAlex
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https://doi.org/10.1016/j.giq.2021.101666Digital Object Identifier
- Title
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The perils and pitfalls of explainable AI: Strategies for explaining algorithmic decision-makingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-12-30Full publication date if available
- Authors
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Hans de Bruijn, Martijn Warnier, Marijn JanssenList of authors in order
- Landing page
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https://doi.org/10.1016/j.giq.2021.101666Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.giq.2021.101666Direct OA link when available
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Distrust, Context (archaeology), Normative, Incentive, CONTEST, Computer science, Management science, Sociology, Political science, Economics, Law, Microeconomics, Biology, PaleontologyTop concepts (fields/topics) attached by OpenAlex
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193Total citation count in OpenAlex
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2025: 65, 2024: 64, 2023: 48, 2022: 15, 2021: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2098949070, https://openalex.org/W1787224781, https://openalex.org/W2035819245, https://openalex.org/W1989980410, https://openalex.org/W3174752098, https://openalex.org/W2411346287, https://openalex.org/W2037451280, https://openalex.org/W6742452782, https://openalex.org/W3108434014, https://openalex.org/W6753243944, https://openalex.org/W6745371957, https://openalex.org/W2996061341, https://openalex.org/W1976129032, https://openalex.org/W1576620340, https://openalex.org/W6636331617, https://openalex.org/W6747395325, https://openalex.org/W2530917347, https://openalex.org/W1029364628, https://openalex.org/W2527349292, https://openalex.org/W2517572945, https://openalex.org/W1901616594, https://openalex.org/W2921398341, https://openalex.org/W2195388612, https://openalex.org/W2657631929, https://openalex.org/W6766629456, https://openalex.org/W6755274658, https://openalex.org/W2010793828, https://openalex.org/W6743846187, https://openalex.org/W2963709920, https://openalex.org/W2897312458, https://openalex.org/W6639150290, https://openalex.org/W6677524196, https://openalex.org/W6773073360, https://openalex.org/W6768020062, https://openalex.org/W6688533166, https://openalex.org/W2753415590, https://openalex.org/W2778796877, https://openalex.org/W4289469015, https://openalex.org/W2117850960, https://openalex.org/W39725046, https://openalex.org/W2963083845, https://openalex.org/W4295128091, https://openalex.org/W3104119469, https://openalex.org/W2744676351, https://openalex.org/W4241857777 |
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