ABSTRACT
As much as the role of artificial intelligence (AI) in preparing to play any sport is important, a large part of the present interest in AI is due to the role that AI plays in what happens on the field/court/track during the games. A key development for any sport would be the ability to utilize available data in real time, thus assisting coaches, athletes and officials to make decisions during the game itself. The use of HawkEye technology, first used in a cricket match, has become ubiquitous at the elite level. While AI has been increasingly efficient at learning from discrete events, developing, predicting and implementing strategies present yet another level of complexity. In his interesting article on strategies in elite road racing, Mignot posited that the strategic interactions of riders have the same logical structure as many social interactions. One aspect of sports often neglected is how they are officiated.
