The World Anti-doping Agency (WADA) has turned to Artificial Intelligence to detect athletes with signs of drug use, which even experienced human investigators can’t discover.
They don’t intend to suspend athletes based on the word of a machine but use AI to find suspect athletes and get them tested.
WADA senior executive director Oliver Rabin explains how information regarding a suspect athlete’s competition calendar, whereabouts, and previous results are analyzed. Doing all this work manually is time-consuming and not safe during this pandemic, hence WADA leverages AI to do the job remotely and efficiently.
The technology analyzes an athlete’s blood or urine sample to find a performance-enhancing substance, and track testosterone levels and RBC count. WADA hopes to utilize AI to improve the system in a way that enables it to track patterns between the markets and to cross-reference them with other information. They aim at making EPO and steroid detection more precise.
WADA plans on employing ML to detect similarities between confirmed dirty and clean profiles to filter out potential suspects
Rabin elaborates on the existence of a Montreal-based global project which can predict the risk of doping based on data evaluated from a broader range of sources.
They are trying to find a balance between protecting data and protecting individuals while trying to determine the potential of AI in drug detection.
AI is an expensive domain with a high demand for specialists.WADA is funding three projects in Canada. It costs around $425,000, and one in Germany costs about $60,000 for the EPO project to find out if AI could spot signs of drug use, which even experienced human investigators might overlook.
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