Role of fairness, accountability, and transparency in algorithmic affordance
Document Type
Article
Source of Publication
Computers in Human Behavior
Publication Date
9-1-2019
Abstract
© 2019 Elsevier Ltd 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.
DOI Link
ISSN
Publisher
Elsevier Ltd
Volume
98
First Page
277
Last Page
284
Disciplines
Social and Behavioral Sciences
Keywords
Accountability, Affordance, Algorithm acceptance, Algorithm experience, Algorithms, Perceived fairness, Perceived transparency
Scopus ID
Recommended Citation
Shin, Donghee and Park, Yong Jin, "Role of fairness, accountability, and transparency in algorithmic affordance" (2019). All Works. 3003.
https://zuscholars.zu.ac.ae/works/3003
Indexed in Scopus
yes
Open Access
no