The World Anti-Doping Agency (WADA) is harnessing artificial intelligence (AI) to identify doping cheats that evade traditional detection methods. Through targeted research funding, WADA aims to uncover subtle signs of performance-enhancing substances overlooked by human analysts.
Despite the COVID-19 disruptions to sports events, WADA has accelerated its anti-doping innovations, as reported by Quebec's La Presse on May 26, 2020. The agency is supporting four AI-integrated research projects in Canada and Germany to explore whether AI can flag potential doping indicators missed by experts.
AI won't make final judgments or impose suspensions—instead, it will flag suspicious athletes for human review. By analyzing vast datasets over extended periods, AI reveals patterns the human eye cannot detect, complementing established protocols.
Routine blood and urine tests already track doping agents alongside key biological markers like red blood cell counts and testosterone levels via the athlete biological passport. WADA's AI projects build on this by cross-referencing biomarkers with additional data. One initiative targets precise EPO detection, while another improves steroid identification.
In Montreal, Quebec, a comprehensive project incorporates athlete geolocation data for deeper insights. Researchers emphasize balancing privacy protections with AI's potential to safeguard fair play. Notably, these efforts exclude competition performance analysis for now, though future expansions are possible.
As highlighted by The Telegraph in November 2019, with 300,000 samples tested annually worldwide, AI promises efficient processing of this massive volume, bolstering global anti-doping integrity.
