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Semi-Automated Offside Technology

Coverage of Semi-Automated Offside Technology in the Nexus archive.

Earliest in view: Jun 23 · 21:00 UTCMost recent: Jul 13 · 15:43 UTC
Co-mentioned in this coverage
Columbia Business Schoolorganization1Folarin Balogunperson1Video Assisted Referee (VAR)topic1Raphael Clausperson1Tarik Muharemovićperson1Artificial Intelligence (AI)topic1decision-makingtopic1Argentinaplace1Franceplace1Lionel Messiperson1Lautaro Martinezperson1FIFAorganization1MIT Sports Laborganization12022 Men’s World Cuptopic1
Recent coverage
  • TECHNOLOGYJul 13 · 15:43 UTCFORTUNE
    Columbia Business School professors: What the Balogun red card can teach us about AI and judgment

    Columbia Business School professors analyze a World Cup match incident involving Folarin Balogun to illustrate how AI handles measurable decisions versus those requiring human judgment. The article contrasts an uncontested AI-assisted offside call with a controversial red card decision, emphasizing that while routine decisions can be automated, complex judgments still require human oversight.

  • TECHNOLOGYJun 23 · 21:00 UTCMIT TECHNOLOGY REVIEW
    Heads in the game

    The 2022 Men’s World Cup final between Argentina and France featured a critical offside decision made using semi-automated offside technology (SAOT). The technology confirmed Argentine forward Lautaro Martinez was onside, allowing Messi’s goal to count, contributing to Argentina’s eventual victory. MIT Sports Lab collaborated with FIFA to develop SAOT, part of broader sports technology innovations.