MLB's ABS challenge system shows where sports draws the line on machine decisions
lmoroney · x · 2026-10-22
Laurence Moroney argues sports leagues offer a design pattern every AI developer should study: machines settle questions with measurable answers, humans keep the judgment calls.
- MLB's ABS challenge system (2026 season): the human umpire still calls every pitch, but players can challenge; through the LCS, 162 challenges with 98 overturned — a 60.5% overturn rate vs 53.8% in the regular season, though the sample gap is within chance
- NBA's sensor ball tracks only what can be measured precisely; officials still own judgment calls and betting-integrity investigations
- His takeaway: hand measurable questions to machines, keep judgment with humans — a transferable pattern for any consequential AI decision system; he also cautions that calling ABS "AI officiating" is a stretch
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