Artificial intelligence: The new MLB hack

The suggestion arose that the Jays might have been anticipating Yankee pitches more effectively. While the typical suspicion would point towards pitch tipping, in this series, the Jays demonstrated improved hitting against multiple New York pitchers. It seems unlikely that Toronto could have identified "tells" in multiple Yankee pitchers in such a short span of time.

In contrast with modern high-definition video feeds, artificial intelligence (AI) has the potential to enable teams to conduct significantly faster and more thorough analyses of pitchers' motions and tendencies. With technology playing an increasingly pivotal role in sports, teams are leveraging it extensively in pursuit of a competitive advantage. It raises the question: Could Toronto, or perhaps other teams, be employing computerized methods to identify pitch tells?

Under MLB rules, teams cannot use video during an at-bat, but they can review completed at-bats on iPads. AI could analyze pitcher behaviour after each at-bat, identifying anomalies quickly. For example, if a pitcher changes wiping patterns on a hot day, AI could detect it, potentially giving teams an advantage. The legality and ethics of this approach are subject to ongoing debate. But is this considered cheating?

Teams are perpetually seeking an edge, and gaining a deeper insight into opposing pitchers could prove pivotal. Therefore, the pertinent queries are not merely "Would teams utilize AI?" or "Should teams employ AI?" Rather, the more pertinent question is likely, "Are teams presently leveraging AI TipBots?" and "What steps should our team take to remain at the forefront of this trend?"

Using AI in baseball isn't inherently considered cheating. However, concerns may arise if AI is employed to gain an unfair advantage over opponents, such as by illegally obtaining real-time information during games or using it to decode signs or signals in violation of league rules. The ethical implications come into play when AI is used in ways that undermine the integrity of the game or violate established regulations. As long as AI applications adhere to league guidelines and maintain the integrity of competition, they can be considered legitimate tools for gaining insights and enhancing performance. But where is the line drawn? Only time will tell.