Artificial Intelligence in the E-Sports Arena: Functional Prospects for Training, Competition and Spectating

Amid the rapid development of core artificial intelligence (AI) technologies and the expanding range of application scenarios in recent years, investigating the convergence of e-sports and AI−along with analyzing the practical applications, expected outcomes and underlying mechanisms of AI across various aspects of e-sports−has become a key task. This endeavor is key to unlocking new opportunities for the development of e-sports and driving the field towards greater intelligence. The role of AI in e-sports training is primarily seen in assisting training, with three sub-functions: "acting as a training opponent", "simulating an opponent" and "providing guidance". In the competition phase, AI assists referees with three sub-functions: "detecting program vulnerabilities", "identifying cheating tools" and "voice monitoring and fake match identification". In the spectating phase, AI aids in intelligent broadcasting with two sub-functions: "event production and broadcasting" and "game progress generation and reporting". The gradual promotion and application of AI can provide a solid technological foundation for advancing the development of e-sports and its industry in China, enabling it to reach higher levels.