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Paper Number

1932

Abstract

Discussing a recent piece by Raisch and Krakowski, the paper compares their postulates with results from studying an AI-powered system’s implementation for judging artistic gymnastics. The empirical study extended beyond the organisational context discussed by Raisch and Krakowski, to consider the various stakeholders’ perceptions of the new system’s role as a support or a substitute system. Observations reveal that the obstacles to automation of the sport’s judging process may coalesce around the system’s cognitive limitations. Additionally, an automation-oriented approach could bring negative social and economic consequences for the judges. The obstacles to augmentation, on the other hand, are largely related to biases of both humans and AI-based systems. Hence, potential exists for implementing a hybrid approach that can mitigate the negative consequences of both and that might represent beneficial social and economic implications for this field of sports.

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