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Paradoxical tensions related to AI-powered evaluation systems in competitive sports

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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
Computer Networks and Communications, Information Systems, Theoretical Computer Science, Software, Paradoxical tensions, Artificial intelligence, Sports judging, Bias, Explainability, Artistry, ARTIFICIAL-INTELLIGENCE, INFORMATION-TECHNOLOGY, PERFORMANCE, MANAGEMENT, CONSEQUENCES, AFFORDANCES, 1ST

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MLA
Mazurova, Elena, et al. “Paradoxical Tensions Related to AI-Powered Evaluation Systems in Competitive Sports.” INFORMATION SYSTEMS FRONTIERS, 2022, doi:10.1007/s10796-021-10215-8.
APA
Mazurova, E., Standaert, W., Penttinen, E., & Tan, F. T. C. (2022). Paradoxical tensions related to AI-powered evaluation systems in competitive sports. INFORMATION SYSTEMS FRONTIERS. https://doi.org/10.1007/s10796-021-10215-8
Chicago author-date
Mazurova, Elena, Willem Standaert, Esko Penttinen, and Felix Ter Chian Tan. 2022. “Paradoxical Tensions Related to AI-Powered Evaluation Systems in Competitive Sports.” INFORMATION SYSTEMS FRONTIERS. https://doi.org/10.1007/s10796-021-10215-8.
Chicago author-date (all authors)
Mazurova, Elena, Willem Standaert, Esko Penttinen, and Felix Ter Chian Tan. 2022. “Paradoxical Tensions Related to AI-Powered Evaluation Systems in Competitive Sports.” INFORMATION SYSTEMS FRONTIERS. doi:10.1007/s10796-021-10215-8.
Vancouver
1.
Mazurova E, Standaert W, Penttinen E, Tan FTC. Paradoxical tensions related to AI-powered evaluation systems in competitive sports. INFORMATION SYSTEMS FRONTIERS. 2022;
IEEE
[1]
E. Mazurova, W. Standaert, E. Penttinen, and F. T. C. Tan, “Paradoxical tensions related to AI-powered evaluation systems in competitive sports,” INFORMATION SYSTEMS FRONTIERS, 2022.
@article{8728621,
  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.}},
  author       = {{Mazurova, Elena and Standaert, Willem and Penttinen, Esko and Tan, Felix Ter Chian}},
  issn         = {{1387-3326}},
  journal      = {{INFORMATION SYSTEMS FRONTIERS}},
  keywords     = {{Computer Networks and Communications,Information Systems,Theoretical Computer Science,Software,Paradoxical tensions,Artificial intelligence,Sports judging,Bias,Explainability,Artistry,ARTIFICIAL-INTELLIGENCE,INFORMATION-TECHNOLOGY,PERFORMANCE,MANAGEMENT,CONSEQUENCES,AFFORDANCES,1ST}},
  language     = {{eng}},
  title        = {{Paradoxical tensions related to AI-powered evaluation systems in competitive sports}},
  url          = {{http://dx.doi.org/10.1007/s10796-021-10215-8}},
  year         = {{2022}},
}

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