Teo Canmetin
@teocanmetin.bsky.social
MSc candidate and Shirley Scholar at the Oxford Internet Institute
Reposted by Teo Canmetin
Facial recognition systems often boast near-perfect test scores, but real life tells a different story. OII researchers Teo Canmetin, Juliette Zaccour @biksil.bsky.social and Luc Rocher @rocher.lc expose the gap between lab evaluations and real-world conditions.
Lab evaluations of facial recognition claiming a high level of accuracy have been used to justify the technology's vast deployment, but they often ignore how the software could perform in diverse, messy and unpredictable real-world environments, Teo Canmetin, Juliette Zaccour and Luc Rocher write.
Why We Shouldn’t Trust Facial Recognition’s Glowing Test Scores | TechPolicy.Press
While lab evaluations of facial recognition may appear objective, they often ignore real-world performance, write Teo Canmentin, Juliette Zaccour & Luc Rocher.
www.techpolicy.press
August 19, 2025 at 9:36 AM
Facial recognition systems often boast near-perfect test scores, but real life tells a different story. OII researchers Teo Canmetin, Juliette Zaccour @biksil.bsky.social and Luc Rocher @rocher.lc expose the gap between lab evaluations and real-world conditions.