Frontiers in Sport Research, 2024, 6(6); doi: 10.25236/FSR.2024.060619.
Runzhi Liu1,2, Hua Cui2
1Sport Philosophy and Social Science Key Research Base of General Administration of Sports of China, Beijing Sport University, Beijing, China
2Library, Beijing Sport University, Beijing, China
Artificial Intelligence (AI) has been changing the society since the middle twentieth century, including the Olympic fields. This study analyzes the challenges and strategies for AI development in Olympic Movement. The findings show that AI has brought both opportunities and challenges to the Olympic movement. As for opportunities, AI can enhance the level of athletes’ competition, boost the operational efficiency of management, enrich the audience experience, create an environmentally friendly society, and drive the Esports boom. As for challenges, AI can bring risks in many aspects, such as algorithmic bias and errors, lack of safe and secure, loss of morals and ethics, invading athletes' privacy, technological miscarriage of justice and technology dependence, and destruction of athlete subjectivity. To promote the sustainability of the Olympic Movement, measures such as optimizing the algorithmic process of AI, enhancing the technology of Big Model, creating an environment of ethical and trustworthy, respect for privacy, and constructing fair AI penalty system should be adopted.
Artificial Intelligence, Sport Events, Olympic Movement
Runzhi Liu, Hua Cui. Exploring the Application of Artificial Intelligence in the Olympic Movement. Frontiers in Sport Research (2024) Vol. 6, Issue 6: 120-125. https://doi.org/10.25236/FSR.2024.060619.
[1] Miah, A. (2017). Sport 2.0: Transforming sports for a digital world. Cambridge, MA: MIT Press.
[2] Kacper Rafalski(2024). AI in Sports: Transforming the Game for Players and Fans. https://www.netguru.com/blog/ai-in-sports. Accessed on 22 November, 2024.
[3] Carmina Liana Musat, Claudiu Mereuta, Aurel Nechita, et. al(2024). Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods. https://doi.org/10.3390/ diagnostics 14222516. Accessed on 10 December, 2024.
[4] Victor R.A. Cossich, Dave Carlgren, Robert John Holash, et. al. (2023) Technological Breakthroughs in Sport: Current Practice and Future Potential of Artificial Intelligence, Virtual Reality, Augmented Reality, and Modern Data Visualization in Performance Analysis. Appl. Sci. (13), 12965. https://doi.org/10.3390/app132312965.
[5] Matthew Sparkes(2024). DeepMind and Liverpool FC develop AI to advise on football tactics. https://www.newscientist.com/article/2422562-deepmind-and-liverpool-fc-develop-ai-to-advise-on-football-tactics/. Accessed on 11 December, 2024.
[6] Shiqing Wei, Puquan Huang, Rui Li, et. Al (2021). Exploring the Application of Artificial Intelligence in Sports Training: A Case Study Approach. https://doi.org/10.1155/2021/4658937.
[7] Yosra Magdi Mekki, Osman Hassan Ahmed, Dylan Powell, et. al. (2024) Games Wide Open to athlete partnership in building artificial intelligence systems. Digital Medicine, (7). 267.
[8] Best Global News(2024). The AI tech aiming to identify future Olympians. https:// www.bbcworldinfo.com/2024/08/the-ai-tech-aiming-to-identify-future.html. Accessed on 12 December, 2024.
[9] Muhammad Anees(2024), How AI Agents Automate Repetitive Tasks and Save You Hours. https://workhub.ai/how-ai-agents-automate-repetitive-tasks/. Accessed on 12 December, 2024.
[10] Asad Ali(2024), Revolutionizing Customer Support: the Impact of AI-Powered Chatbots and Virtual Assistants. https://easychair.org/publications/preprint/jXpQ. Accessed on 12 December, 2024.
[11] Peakflow Team (2024). AI Advancements in Automating Expense Management. https://blog.peakflo.co/en/travel-expense/ai-expense-management-automation. Accessed on 12 December, 2024.
[12] Max Miller(2024). Top French ice hockey league production automated with AI cameras. https://www.broadcastnow.co.uk/production-and-post/top-french-ice-hockey-league-production-automated-with-ai-cameras/5197664.article. Accessed on 30 September, 2024.
[13] Nerdle(2023). AI, VR, and the Future of Live Events: Immersive Concerts and Beyond.https://vrenity.com/nerdzone/ai-vr-and-the-future-of-live-events-immersive-concerts-and-beyond. Accessed on 15 December, 2023.
[14] International Olympic Committee(2021). IOC SUSTAINABILITY REPORT 2021. https://library. olympics.com/Default/doc/SYRACUSE/1327713/ioc-sustainability-report-2021-international-olympic-committee?_lg=en-GB. Accessed on 10 December, 2024.
[15] Logan Kugler(2022).How AI Is Driving the Esports Boom. https://cacm.acm.org/news/ how-ai-is-driving-the-esports-boom/. Accessed on 10 June, 2024.
[16] Emilio Ferrara(2023). Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies. https://www.researchgate.net/ publication/370071122_ Fairness_ And_Bias_in_Artificial_Intelligence_A_Brief_Survey_of_Sources_Impacts_And_Mitigation_Strategies. Accessed on 10 December, 2024.
[17] Mithril Security(2024). Data Leakage in AI. https://www.mithrilsecurity.io/ content-hub/ai -privacy-and-security-risks-hub/data-leakage-in-ai. Accessed on 6 October, 2024.
[18] Ananya Pandey(2024). Application of Artificial Intelligence in Sports Analytics: Analysing the Ethical and Legal Perspectives. https://link.springer.com/chapter/10.1007/978-3-031-63573-1_10
[19] Gerrish(2024). AI in Sport: The Effect on Athlete Privacy. https://www.gerrishlegal.com/blog/ ai-in-sport-the-effect-on-athlete-privacy. Accessed on 6 October, 2024.
[20] Chad Knutson(2024). Understanding the Risks and Rewards of AI. https://sbscyber.com/ blog/risks-and-benefits-of-ai. Accessed on 6 December, 2024.
[21] Duarte Araujo, Micael Couceiro, Ludovic Seifert, et. Al (2020). Artificial Intelligence in Sport Performance Analysis. New York Routledge.
[22] Jan De Bruyne, Michiel Fierens(2020). Legal and ethical considerations concerning AI in sports. https://sports-tech-research-network.com/news-insights/2020/12/21/Legal-and-ethical-considerations-concerning-AI-in-sports. Accessed on 11 October, 2024.