Abstract
Digital transformation owns megatrend character. Especially technologies of artificial intelligence (AI) will help organizations to solve problems in the future. Therefore, the relationship between humans and technology will become increasingly intertwined. The use of AI in football refereeing is whitely unexplored. Wrong referee decisions lead to negative economic and psychological consequences and are therefore problematic. Accordingly, by the advances in AI, there is an increasing demand for the application of this technology to improve the precision of referee decisions. This paper applies a set of qualitative research methods to assess the potentials and limits of the use of AI for the support of referee decisions. Generally, judgements that have to do with positions are relatively easy to solve with the help of technology. However, referee decisions, which require a high degree of understanding for the situation, are considered difficult to implement. Hence, this paper identifies potentials for AI application in referee decisions, which are either black-or-white and outlines the limits in referee decisions, which give space for interpretation.
Highlights
Digital transformation is characterized by a variety of technological, digital and social influences (Niestroj, 2020, Tewes and Tewes, 2020)
The aim of this paper is to answer the research question "Which refereeing decisions have the potential for the use of artificial intelligence (AI) and which ones go beyond the limits of this technology? This research question was investigated with the help of qualitative research methods
The investigations showed that there is potential for the use of AI in all refereeing decisions that have to do with positions
Summary
Digital transformation is characterized by a variety of technological, digital and social influences (Niestroj, 2020, Tewes and Tewes, 2020). These trends affect companies, organizations and institutions in many different ways. Artificial intelligence (AI) will be one of the most effective change potentials in the future (Gerbert et al, 2020). When considering the future application potential for this enormous football market, there are various digital potentials. A smartphone can show the probability of scoring a goal in real-time. The German Football Association (DFL) is demonstrating this future scenario within a cooperation project with Vodafone. AI can analyze the probability of a goal chance under consideration of various parameters. AI can analyze the probability of a goal chance under consideration of various parameters. (DFL, 2019)
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