AI-assisted umpire evaluation in baseball: A data-driven approach to assessing ball-strike decisions
Published online on November 14, 2025
Abstract
Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, Ahead of Print.
Ball-strike judgments in Major League Baseball (MLB) remain susceptible to human error, potentially affecting game outcomes and competitive fairness. This study develops an AI umpire using deep learning to assess the consistency of human umpire decisions. ...
Ball-strike judgments in Major League Baseball (MLB) remain susceptible to human error, potentially affecting game outcomes and competitive fairness. This study develops an AI umpire using deep learning to assess the consistency of human umpire decisions. ...