Ahmed Abbasi
IT, Analytics and Operations
Joe and Jane Giovanini Professor of IT, Analytics, and Operations
- Artificial Intelligence
- Text and predictive analytics
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Abbasi in the News
Bioscience
AI Matches Human Face Recognition Skills Yet Racial Bias and Human Limits Persist
August 12, 2026
The researchers discovered that, while AI and human judges often converge on which faces look alike, three key variables shape accuracy: the ethnicity of the observer, the ethnicity of the face being evaluated, and the individual’s innate ability to recognize faces, according to Professor Ahmed Abbasi of Notre Dame’s Mendoza College of Business.
The Good Men Project
Is AI Better at Recognizing Faces Than You?
August 12, 2026
While humans and AI generally agree on facial similarity, three factors heavily influence accuracy: the race of the participant, the race of the face being viewed, and the individual’s natural recognition skill, according to Ahmed Abbasi, a professor of IT, analytics, and operations at Notre Dame’s Mendoza College of Business.