30 July 2021
Software named Proctorio couldn't detect black students

Software named Proctorio couldn’t detect black students

Designed to prevent students from cheating while taking exams Proctorio It was discovered that the software named software failed to scan black-skinned faces. The discovery was made by a curious student. However, security researchers revealed the magnitude of the incident.

Many students had trouble with Proctorio software

Motherboard Exam tracking software, according to the report reported by ProctorioHis vulnerability was discovered by a student. Accordingly, the student revealed that by perceiving how the software performs face detection, it was less successful in identifying black-skinned faces. In addition, many students noted that the software had problems detecting their faces and therefore had to resort to extreme measures. reported.

Deciding to look at the face detection methods used by the software based on the complaints Akash Satheesan, an open source computer vision program that can be used to recognize faces OpenCV discovered that he performed in the same way as. Satheesan, OpenCV and ran tests using a dataset to verify how well machine vision algorithms cope with different faces. However, the results were not good.

Proctorio-named-software-could not detect-black-students-

In addition to being 50 percent flawed in recognizing black faces, the software did not perform well in recognizing faces of any ethnicity. Satheesan’in contacted to have their results and analysis verified by a security researcher Motherboard, Proctorio’nun OpenCV’yi Confirmed use on licenses page.

An explanation on the subject Proctorio spokesperson, Satheesan ‘He said that his tests proved that the software only tried to detect faces, not identities associated with them. In addition, the spokesperson did not comment on accusations of racial bias.

Event, ProctorioIt is not the first time that he was accused of not recognizing different faces. A university had to terminate its existing contract due to the software’s previous problems with students of different skin colors.

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