Economics at your fingertips  

Paradoxical Tensions Related to AI-Powered Evaluation Systems in Competitive Sports

Elena Mazurova (), Willem Standaert (), Esko Penttinen () and Felix Ter Chian Tan ()
Additional contact information
Elena Mazurova: Aalto University
Willem Standaert: HEC Liège – Management School of the University of Liège
Esko Penttinen: Aalto University
Felix Ter Chian Tan: School of Information Systems and Technology Management at UNSW Business School

Information Systems Frontiers, 2022, vol. 24, issue 3, No 10, 897-922

Abstract: Abstract Judging in competitive sports is prone to errors arising from the inherent limitations to humans’ cognitive and sensorial capabilities and from various potential sources of bias that influence judges. Artistic gymnastics offers a case in point: given the complexity of scoring and the ever-increasing speed of athletes’ performance, systems powered by artificial intelligence (AI) seem to promise benefits for the judging process and its outcomes. To characterize today’s human judging process for artistic gymnastics and examine contrasts against an AI-powered system currently being introduced in this context, an in-depth case study analyzed interview data from various stakeholder groups (judges, gymnasts, coaches, federations, technology providers, and fans). This exploratory study unearthed several paradoxical tensions accompanying AI-based evaluations in this setting. The paper identifies and illustrates tensions of this nature related to AI-powered systems’ accuracy, objectivity, explainability, relationship with artistry, interaction with humans, and consistency.

Keywords: Paradoxical tensions; Artificial intelligence; Sports judging; Bias; Explainability; Artistry (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link) Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This journal article can be ordered from

DOI: 10.1007/s10796-021-10215-8

Access Statistics for this article

Information Systems Frontiers is currently edited by Ram Ramesh and Raghav Rao

More articles in Information Systems Frontiers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

Page updated 2022-10-29
Handle: RePEc:spr:infosf:v:24:y:2022:i:3:d:10.1007_s10796-021-10215-8