Do Tennis Players Have a Right to Privacy?

John McEnroe is remembered for his on-court outbursts almost as much as for his exquisite shot-making. “You cannot be serious!” is an instantly recognisable sporting catchphrase. When McEnroe was at the height of his career in the 1980s, tennis players’ behaviour was scrutinised almost exclusively through on-court broadcast cameras. What happened off court largely remained unseen. 

Today, tennis, alongside other elite sports, is an environment of continuous monitoring; players are filmed arriving, warming up, competing and exiting. Visibility is a structural feature of the modern sports industry, justified for enhancing fan engagement and serving security, integrity and officiating purposes. But where should the balance lie when such footage reveals players’ emotional states – be it anger, distress or vulnerability? 

This question came up this week when a tennis player, Coco Gauff, called for greater privacy after footage emerged of her smashing her racquet following her Australian Open quarter-final defeat. Crucially, the incident did not occur on court. Gauff was filmed in the players’ area by behind-the-scenes cameras, with the footage later broadcast on television and circulated widely on social media. Gauff said she had made a conscious effort to suppress her emotions until she believed she was away from public view, referencing a similar incident at the 2023 US Open when Aryna Sabalenka was filmed smashing her racquet after losing the final. Since 2019, the Australian Open has shown footage from the players’ zone beneath the Rod Laver Arena, including the gym, warm-up areas and corridors leading from locker rooms. Camera access in these spaces is more restricted at the other Grand Slams.  

Gauff is not alone in raising concerns about behind-the-scenes cameras. Six-time major champion Iga Świątek said this week players are being watched “like animals in the zoo” in Melbourne. Semi-finalist Jessica Pegula described the constant filming as an “invasion of privacy”, adding that players feel “under a microscope constantly”. Tournament organisers, Tennis Australia, responded by emphasising fan engagement, saying the cameras help create a “deeper connection” between players and audiences while insisting that player comfort and privacy remain a priority. 

From a legal perspective, this issue is not merely a matter of optics. Under modern data-protection regimes such as the GDPR and the Australian Privacy Act, video footage of identifiable athletes constitutes personal data. Where that footage reveals emotional states it becomes particularly sensitive. Organisers must therefore be able to justify not only collecting such footage, but retaining, broadcasting and amplifying it. That justification is relatively straightforward during live play, where filming is integral to the sport itself. It becomes much harder once the match has ended. Filming in player tunnels, medical areas or immediately after defeat may be defensible for security or safety reasons. But the retention and circulation of emotionally charged moments for entertainment value sits on far shakier legal ground.  

Players may agree to extensive filming as a condition of participation, but that agreement does not extinguish their broader privacy rights, particularly where footage is used in a way that is disproportionate, stigmatising or disconnected from its original purpose. This tension is becoming harder to ignore as governing bodies simultaneously emphasise mental health and player welfare while permitting practices that expose athletes’ most vulnerable moments to global audiences. 

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This and other data protection developments will be discussed in detail on our forthcoming  GDPR Update workshop.  

When AI Misses the Line: What Wimbledon 2025 Teaches Us About Deploying AI in the Workplace 

This year’s Wimbledon Tennis Championships are not just a showcase for elite athleticism but also a high-profile test of Artificial Intelligence. For the first time in the tournament’s 148-year history, all line calls across its 18 courts are made entirely by Hawk-Eye Live, an AI-assisted system that has replaced human line judges. This follows, amongst others, the Semi-Assisted Offside System deployed in last year’s football Champions League after its success in the Qatar World Cup.  

The promise? Faster decisions, greater consistency, and reduced human error. 
The reality? Multiple malfunctions, public apologies, and growing mistrust among players and fans (not to mention losing the ‘best dressed officials’ in sport). 

What Went Wrong? 

  • System Failure Mid-Match: During a high-stakes women’s singles match between Anastasia Pavlyuchenkova and Sonay Kartal, the line-calling system was accidentally switched off for several points. No alerts were raised, and the match proceeded with no accurate judgments. Wimbledon officials later admitted human error was to blame, not the AI. 
  • Misclassification Errors: In the men’s quarter-final between Taylor Fritz and Karen Khachanov, Hawk-Eye incorrectly called a rally forehand a “fault,” apparently confusing it with a serve. Play was halted and the point was replayed, leaving fans and players confused and frustrated. 
  • User Experience Failures: Multiple players, including Emma Raducanu and Jack Draper, complained that some calls were “clearly wrong” and that the system’s announcements were too quiet to hear amid crowd noise. Some players called for the return of human line judges, citing a lack of trust in the technology.  

Lessons for AI and IG Professionals 

Wimbledon’s AI hiccup offers more than a headline; it surfaces deep issues around trust, oversight, and operational design that are relevant to any AI deployment in the workplace. Here are the key lessons: 

1. Automation ≠ Autonomy 

The Wimbledon system is not truly autonomous; it relies on human operators to activate it before each match. When staff forgot to do so, the AI didn’t intervene or alert anyone. This exposes a major pitfall: automated systems are only as reliable as their orchestration layers. 

Governance Principle: Ensure clear workflows and audit trails around when and how AI systems are initiated, paused, or overridden. Build in fail-safe triggers and status checks to prevent silent failures. 

2. Build in Redundancy and Exception Handling 

AI systems excel at pattern recognition in controlled environments but can fail spectacularly at edge cases. Wimbledon’s AI was likely trained on thousands of hours of ball trajectories – but it still confused a forehand rally shot with a serve under unusual conditions. 

Governance Principle: Plan for edge case management. When the AI encounters uncertainty, it should either defer to human review or trigger a fallback protocol.  

3. Usability is a Core Component of Accuracy 

Even when the AI was functioning correctly, players couldn’t always hear the line calls due to low audio volume. What good is a precise call if the user can’t perceive it? 

Governance Principle: Don’t separate accuracy from usability. A technically correct output must be understandable, accessible, and actionable to its end users. Invest in UI/UX design early in the AI lifecycle. 

4. Transparency Builds Trust 

Wimbledon’s initial response (vague statements and slow clarifications) only fuelled player frustration. Trust was eroded not just because of the error, but because of how it was handled. 

Governance Principle: When deploying AI, especially in high-stakes environments, build a culture of transparent accountability. Log decisions, explain anomalies, and communicate clearly when things go wrong. 

5. Hybrid Systems Are Often More Effective Than Pure AI 

While Wimbledon has fully replaced line judges with AI, there’s a strong case for a hybrid model. A combination of automated systems with empowered human oversight could preserve both accuracy and human judgment. 

Governance Principle: Consider augmented intelligence models, where AI supports rather than replaces human decision-makers. This ensures operational continuity and enables learning from both machine and human feedback. 

6. Respect Context and Culture 

Wimbledon isn’t just any tournament; it’s steeped in tradition, where human line judges are part of the spectacle. Removing them altered the tournament’s character, sparking emotional backlash from players and spectators alike. 

Governance Principle: Understand the organisational and cultural context where AI is deployed. Technology doesn’t operate in a vacuum. Change management, stakeholder engagement, and empathy are as important as algorithms. 

The problems with Wimbledon’s AI line-calling system are symptoms of incomplete design thinking. Whether you’re deploying AI in HR analytics, document classification, or customer service, the Wimbledon experience shows that trust isn’t just built on data; it’s built on reliability, clarity, and human-centred design. 

In a world increasingly mediated by automation, we must remember: AI doesn’t replace the need for governance. It raises the stakes for getting it right. And we just wish it was around for the “Hand of God” goal

Are you looking to enhance your career with an AI governance qualification? Our AI Governance Practitioner Certificate is designed to equip compliance professionals with the essential knowledge and skills to navigate this transformative technology while upholding the highest standards of data protection and information governance. The first course was fully booked, and we have added more dates.