Cornell Chronicle·3 min read·medium
Inside baseball: AI-enabled enforcement tech takes time, testing
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Louis DiPietro
✦AI Summary
Cornell researchers analyzed the implementation of Major League Baseball's Automated Ball-Strike (ABS) system to understand the challenges of using AI for rule enforcement. The study highlights that technical accuracy is only one factor, as organizational and social contexts significantly impact the success of AI integration.
Training artificial intelligence to enforce even seemingly straightforward rules – like balls and strikes in Major League Baseball (MLB) – is a messy, dynamic process that takes time and careful evaluation of the technology in the wild, according to new Cornell research.
technologysciencesports
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