Artificial Intelligence in Sports: Setting a Research Agenda and Priorities
Artificial intelligence (AI) is becoming increasingly more prevalent in our daily social and professional lives. One sector in which AI-systems are being frequently used is sports. Considering the many benefits and positive impacts of AI-systems, they will continue to make ‘inroads into the realm of sports’. AI-systems may, for instance, enhance an athlete’s individual performances and identify his/her competitive advantages. AI is also used to increase team performances, prevent injuries, enhance safety, and for scouting, coaching and tactical decision-making. At the same time, however, several societal, technical, economical, legal and ethical concerns may arise when AI is used in sports.
Praktische info:
Leertraject
In 2020, the IDEALAB on AI & Sport was established and funded by KU Leuven YouReCa to assess some of these challenges. During this webinar, several experts involved in the IDEALAB and many others will discuss how the use of AI is influencing their respective (research) field. By doing so, the webinar will highlight some priorities and set a research agenda with some important questions that need to be addressed in the future. Therefore, the conference’s intended audience is very broad including practitioners, academic researchers, sport lawyers, business developers, sport scientists, consultants, policymakers, members of civil society organisations, AI practitioners, (post)doctoral researchers, students and other professionals with an interest in sport.
Practical
Date: Tuesday 5 March 2024
Timing: 13.00-17.30 CEST
Attendance: Online (link will be provided on Monday afternoon, 4 March)
Free registration: no costs involved but registration required
Registration and more information via CiTiP Admin
Programme
13.00-13.10 |
Welcome (Jan De Bruyne & Natalie Bertels, Centre for IT & IP Law, KU Leuven, RAILS) |
13.15-13.35 |
AI is changing the game (Steven Verstockt, IDLab, Ghent University) |
13.40-14.00 |
Business perspective on innovation and sports: the case of AI (Kristof De Mey, Victoris, STRN, Ghent University) |
14.05-14.25 |
Sport science perspective on AI in sports (Arne Jaspers, Royal Belgian Football Association - KU Leuven) |
14.25-14.40 |
Coffee break |
14.40-15.05 |
AI and sports: some social considerations (Michiel van Oudheusden, VU Amsterdam). |
15.10-15.30 |
Ethical/diversity perspective on AI and sports (Ana Maria Correa, Centre for IT & IP Law, KU Leuven) |
15.35-15.55 |
Data protection, AI and sport (Pierre Dewitte, Centre for IT & IP Law, KU Leuven) |
15.55-16.10 |
Coffee break |
16.10-16.30 |
An international perspective on AI and sports (Jessica Zendler, Rimkus) |
16.35-16.55 |
AI and sports in practice (Sofie Debaere & Joachim Taelman, Sport Vlaanderen) |
16.55-17.10 |
Closing remarks (Mike McNamee, iCERIS, KU Leuven) |
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