Engineering's Erman Ayday weighs in on reliability of facial technology
ideastream: Erman Ayday, assistant professor of computer and data sciences at Case School of Engineering, said facial recognition uses AI to analyze thousands of facial features, but accuracy drops sharply when images are low-resolution or partially obscured. He noted studies showing false positive rates as high as 30% for Black faces, and said companies should not be allowed to scrape social media photos for facial recognition.
