The road to the Los Angeles 2028 Olympic Games is being paved with silicon and algorithms, as AI judging Olympics technology moves from experimental trials to the center of high-stakes medal contention. While the Olympic flame represents ancient tradition, the next generation of American-hosted games is poised to become a digital battlefield where human intuition meets mathematical precision. The International Gymnastics Federation (FIG) is leading this charge, signaling that artificial intelligence will likely play a decisive role in who stands on the podium in Southern California. However, as the technology matures, elite athletes are sounding the alarm, warning that a machine's definition of perfection might ignore the biological realities of human safety.
Public interest in this technological shift has surged following recent competitive cycles, with fans and analysts frequently searching for "how does AI judge gymnastics," "Carlos Yulo vault controversy," "Fujitsu JSS technology explained," "AI in sports officiating," and "LA28 Olympic technology updates." These queries reflect a growing anxiety over whether the soul of subjective sports can survive the transition to objective data points.
The Silicon Scorecard: How AI Judging Olympics is Altering the Podium
The integration of artificial intelligence into elite sports is no longer a futuristic concept; it is an active variable. At the center of this transformation is the Judging Support System (JSS), an AI-powered platform developed by Fujitsu. Since 2017, the system has been fed data on more than 800 gymnastic elements, learning the nuances of body positions, shoulder angles, and leg extensions with a level of granularity that the human eye cannot consistently replicate. While a human judge might see a "straight" leg, the AI sees a deviation of a single degree.
This precision was put to a controversial test at the recent World Championships. Elite gymnasts, including Olympic gold medalist Carlos Yulo and British standout Harry Hepworth, saw their difficulty ratings downgraded by the AI during vault qualifying. Both athletes performed the piked Dragulescu—a high-risk maneuver—but the JSS flagged bent legs during the half-twist, reclassifying the move as a "tucked" position. This mechanical decision reduced their scores from a 5.6 to a 5.2, a margin that can mean the difference between a gold medal and missing the podium entirely.
Precision vs. Human Survival: The Athlete’s Perspective
The backlash from the gym floor was immediate. Athletes argue that the AI fails to account for the biomechanical necessity of safety. Harry Hepworth noted that bending the legs slightly before landing is often a "sensible" choice to prevent catastrophic injury. When the AI penalizes these micro-adjustments, it forces athletes into a dangerous dilemma: prioritize the machine's aesthetic requirements or protect their own physical well-being.
Carlos Yulo echoed these sentiments, famously stating, "I’m not a robot." The tension highlights a fundamental philosophical divide in the Olympic movement. Is the goal of the Games to find the most mathematically perfect execution, or to celebrate the triumph of the human spirit over physical limitations? If the AI judging Olympics system continues to penalize safety-conscious techniques, the sport could see an increase in injuries as athletes chase the "perfect" digital profile.
The Expansion: From Gymnastics to the Equestrian Arena
Gymnastics is merely the tip of the spear. Several other judged disciplines are currently exploring AI integration for LA28 and beyond:
- Gymnastics (FIG): Utilizing Fujitsu’s JSS to provide multi-angle video reviews and objective numerical data on body angles.
- Dressage (FEI): Trialing AI to monitor horse welfare and technical accuracy, though officials maintain that "harmony" still requires a human touch.
- Winter Sports (FIS): Testing algorithms in aerials and halfpipe to reduce judging time from nearly two minutes per athlete to under 20 seconds.
- Surfing and Skateboarding: Exploring motion-capture AI to provide instant feedback on rotation speeds and air height.
- Integrity and Bias: Governing bodies view AI as the ultimate tool to eliminate nationalistic bias and judging scandals that have historically plagued the Olympics.
The Push for Speed and Transparency
Beyond fairness, the push for AI judging Olympics technology is driven by the commercial needs of modern broadcasting. Urs Lehmann, secretary general of the International Ski Federation (FIS), has been vocal about the need for speed. In sports like aerials, the lag time between an athlete's performance and the official score can kill the momentum of a live broadcast. By reducing this window to 15 seconds, AI makes the sport more "watchable" for a global audience with a shrinking attention span.
Furthermore, the International Olympic Committee (IOC) is under pressure to make judged sports more transparent. For a casual viewer tuning in once every four years, the difference between a 14.5 and a 14.8 score in gymnastics can feel arbitrary. AI provides a visual data overlay—showing the exact angle of a limb or the height of a jump—that justifies the score to the audience in real-time.
The Road to LA28: What Happens Next?
As we look toward the 2028 Games in Los Angeles, the role of human judges is likely to shift from primary arbiters to system supervisors. Andrew Tombs, president of the Men's Artistic Gymnastics technical committee, maintains that the JSS is there to "support" rather than replace. However, the vision of FIG President Morinari Watanabe is more radical: a future where computers alone award the scores.
For American fans, the stakes are high. As the host nation, the U.S. will be under intense scrutiny to deliver a fair and technologically advanced Games. The development of these systems over the next three years will determine whether the LA28 Olympics are remembered for their technological brilliance or for a new era of algorithmic controversy.
Frequently Asked Questions
Will AI replace human judges entirely at the LA28 Olympics?
While some sports officials dream of a fully automated scoring system, it is unlikely that human judges will be removed by 2028. For the LA28 Games, AI is expected to serve as a "Judging Support System" (JSS), providing data and multi-angle reviews to help human officials make more accurate and faster decisions.
Which Olympic sports are currently using AI for scoring?
Gymnastics is currently the furthest along, having used AI-assisted systems at the World Championships. Other sports in the pilot phase include dressage (equestrian), aerial skiing, snowboarding, and surfing, all of which are testing how motion analysis can improve fairness and transparency.
Can an athlete appeal a score if they believe the AI made a mistake?
Yes, the current protocol involves human judges reviewing the AI's data. If an athlete or coach challenges a score, officials use the AI’s multi-angle replays and biomechanical measurements to verify the difficulty rating and execution, though the final decision still rests with the human technical committee.