research-article

Role of fairness, accountability, and transparency in algorithmic affordance

Authors:

Yong Jin ParkAuthors Info & Claims

Volume 98, Issue C

Pages 277 - 284

https://doi.org/10.1016/j.chb.2019.04.019

Published: 01 September 2019 Publication History

Abstract

As algorithm-based services increase, social topics such as fairness, transparency, and accountability (FAT) must be addressed. This study conceptualizes such issues and examines how they influence the use and adoption of algorithm services. In particular, we investigate how trust is related to such issues and how trust influences the user experience of algorithm services. A multi-mixed method was used by integrating interpretive methods and surveys. The overall results show the heuristic role of fairness, accountability, and transparency, regarding their fundamental links to trust. Despite the importance of algorithms, no single testable definition has been observed. We reconstructed the understandings of algorithm and its affordance with user perception, invariant properties, and contextuality. The study concludes by arguing that algorithmic affordance offers a distinctive perspective on the conceptualization of algorithmic process. Individuals’ perceptions of FAT and how they actually perceive them are important topics for further study.

Highlights

•

Conceptualizes fairness, transparency, and accountability.

•

How they influence the use and adoption of algorithm services.

•

How trust is related to such issues and how trust influences the user experience of algorithm services.

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Cited By

Cheng XPeng G(2024)Study on the Behavioral Motives of Algorithmic Avoidance in Intelligent Recommendation SystemsJournal of Global Information Management10.4018/JGIM.35285732:1(1-22)Online publication date: 17-Sep-2024
https://dl.acm.org/doi/10.4018/JGIM.352857
Majrashi K(2024)Determinants of Public Sector Managers' Intentions to Adopt AI in the WorkplaceInternational Journal of Public Administration in the Digital Age10.4018/IJPADA.34284911:1(1-26)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.4018/IJPADA.342849
Cai YWang C(2024)Effect of Transparency of Algorithmic Performance Management on Proactive Work BehaviorInternational Journal of Asian Business and Information Management10.4018/IJABIM.34806215:1(1-17)Online publication date: 30-Jul-2024
https://dl.acm.org/doi/10.4018/IJABIM.348062
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Index Terms

Role of fairness, accountability, and transparency in algorithmic affordance
1. Human-centered computing
2. Social and professional topics
  1. Professional topics

Index terms have been assigned to the content through auto-classification.

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Published In

cover image Computers in Human Behavior

Computers in Human Behavior Volume 98, Issue C

Sep 2019

311 pages

ISSN:0747-5632

Issue’s Table of Contents

Elsevier Ltd.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 September 2019

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Cited By

Cheng XPeng G(2024)Study on the Behavioral Motives of Algorithmic Avoidance in Intelligent Recommendation SystemsJournal of Global Information Management10.4018/JGIM.35285732:1(1-22)Online publication date: 17-Sep-2024
https://dl.acm.org/doi/10.4018/JGIM.352857
Majrashi K(2024)Determinants of Public Sector Managers' Intentions to Adopt AI in the WorkplaceInternational Journal of Public Administration in the Digital Age10.4018/IJPADA.34284911:1(1-26)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.4018/IJPADA.342849
Cai YWang C(2024)Effect of Transparency of Algorithmic Performance Management on Proactive Work BehaviorInternational Journal of Asian Business and Information Management10.4018/IJABIM.34806215:1(1-17)Online publication date: 30-Jul-2024
https://dl.acm.org/doi/10.4018/IJABIM.348062
Liang L(2024)In the context of e-commerce, the influence mechanism of short video algorithm perception on users' purchase intention is studied based on PSL-SEM methodProceedings of the 2024 Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Digital Economy and Artificial Intelligence10.1145/3675417.3675515(593-598)Online publication date: 19-Jan-2024
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Shah CBender E(2024)Envisioning Information Access Systems: What Makes for Good Tools and a Healthy Web?ACM Transactions on the Web10.1145/364946818:3(1-24)Online publication date: 26-Feb-2024
https://dl.acm.org/doi/10.1145/3649468
Bhat MLong D(2024)Designing Interactive Explainable AI Tools for Algorithmic Literacy and TransparencyProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660722(939-957)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3660722
Bhat M(2024)Creative Explainable AI Tools to Understand Algorithmic Decision-MakingProceedings of the 16th Conference on Creativity & Cognition10.1145/3635636.3664622(10-16)Online publication date: 23-Jun-2024
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Schoeffer JDe-Arteaga MKühl N(2024)Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-MakingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642621(1-18)Online publication date: 11-May-2024
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Yuan YLiu LWei-Han Tan GOoi K(2024)Do consumers’ perceptions of algorithms and trusting beliefs in providers affect perceived structural assurances of AI-powered applications?Telematics and Informatics10.1016/j.tele.2024.10218894:COnline publication date: 1-Oct-2024
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