Peer-reviewed study published in Frontiers in Education found significant racial and skin-tone bias in automated proctoring software (described as 'the automated proctoring softwar…
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Peer-reviewed study published in Frontiers in Education found significant racial and skin-tone bias in automated proctoring software (described as 'the automated proctoring software predominantly used' at the study institution — widely identified as ProctorU/Meazure).
Course / Exam
Four courses with approximately 357 students
Program
Higher education — undergraduate STEM
Outcome
Study concluded that 'the automated proctoring software AI algorithms show a clear bias against students with darker skin tones and those that report themselves as Black.' Study was first to quantitatively examine racial and skin-tone bias in exam proctoring software with intersectional analysis. Results widely cited in subsequent litigation, legislative debate, and academic discourse.
Source
News / Journalism
Original
Imported research record