Tackling online abuse of athletes

Episode Summary

Executive Summary: This Tech Life episode covers three tech-driven stories: the IOC’s AI system to detect and escalate online abuse targeting Olympic athletes; University of Sheffield students building charity-funded games through Project Pixel; and a Rwanda prosthetics initiative using portable 3D scanning to create better-fitting limbs. The common thread is technology being used to reduce harm, widen opportunity, and improve outcomes in real-world settings.

Main Topics: AI to combat online abuse at the Paris Olympics (Priority: 5/5): The IOC is deploying an AI-based monitoring and triage system to scan social media for targeted abuse against athletes, officials, and entourage members before escalating cases for removal or possible law-enforcement action. Athlete welfare, safeguarding, and context-aware moderation (Priority: 5/5): The discussion explains how automated scanning is paired with human triage and existing safeguarding staff so abusive content is reviewed in context and support is provided to targeted people on the ground. Project Pixel: student-made games for charity (Priority: 4/5): University of Sheffield students are developing and publishing mobile games as a charitable venture, with ambitions to expand to other universities and become a global umbrella project. How games-industry mentoring supports new talent (Priority: 3/5): A Sumo Digital representative describes the skills, adaptability, and teamwork needed in game development and offers guidance to the student team about large-scale production and career readiness. 3D scanning for prosthetic limbs in Rwanda (Priority: 5/5): Handicap International and Artec3D are using the portable Artec Leo scanner to capture residual limbs quickly and accurately so prosthetic sockets can be digitally sculpted for a better fit. Tech adoption in low-resource medical settings (Priority: 4/5): The Rwanda segment emphasizes that ease of use, portability, productivity, and reliable data can matter more than low upfront cost when deploying medical technology in the field.

Key Arguments: Online abuse of athletes is widespread and harmful, so passive reporting is not enough; proactive monitoring is needed. AI can help at scale by scanning millions of data points across many languages, emojis, and images, but human review remains essential for context. The IOC’s approach is meant to protect athletes’ mental health while preserving their ability to stay online for communication, sponsorship, and fan engagement. Project Pixel shows how student-led game development can produce publishable games and raise money for charity while building employable skills. In prosthetics, a precise, contactless scan can improve fit, comfort, and outcomes more than cheaper tools that require more training and manual correction. For Rwanda, the best medical technology is the one that can be used quickly and reliably by local practitioners in the field, even if the device itself is expensive.

Data Points: Languages scanned by IOC system: Over 35 languages - AI platform for detecting online abuse at the Olympic and Paralympic Games Athlete welfare officers: Over 165 - IOC safeguarding staff supporting athlete well-being at Paris 2024 Children affected by cyberbullying: 1 in 6 - WHO report cited by Kirsty Burroughs on the scale of online harm University team size: About 25 people - Estimated number of students working on Project Pixel Number of games published: 2 games - Project Pixel secured a license to publish Colour Dash and Flight Frenzy on Google Play Game development plan: 2 to 3 mobile games per year - Project Pixel’s stated annual output goal Device price: About $40,000 - Approximate cost of the Artec Leo scanner used in Rwanda Training time for medics: 20 to 30 minutes - How long it took medics in Rwanda to learn basic scanner use Scanner size: About the size of a shoebox - Description of the Artec Leo portable 3D scanner

Pivotal Quotes: "online abuse has become almost ubiquitous" — Kirsty Burroughs: Describing how common digital abuse is for athletes and other public figures "there should be consequences to this" — Kirsty Burroughs: Explaining why the IOC wants real-world action against criminal or guideline-breaking abuse "the perfect fit is everything" — Art Jochin: Explaining why accurate 3D scanning is critical for prosthetic limbs

Implications: The episode suggests AI, student innovation, and portable scanning are becoming practical tools for safeguarding people and improving services. For sports, education, and healthcare, success depends on combining automation with human judgment.