Test Proctoring AI Accuses Student of Cheating During the Exam; Experts Claim ProctorU Leads to More Problems

Nowadays, it is hard to tell if a student is cheating during an exam since classes are already conducted online because of the ongoing global pandemic. To help the professors properly monitor their students, an "anti-cheating" software was developed.

However, can the schools trust this new artificial intelligence? ProctorU, the proctoring exam program, already accused a college student of cheating during an exam. The student, under the username DaynuhJoe, posted her reaction on TikTok.

The AI flagged some of her behavior during an exam as suspicious. Because of ProctorU's report, her professor decided to give her a zero on the assessment.

"So, just to let you know how online school and college is going, I just took an exam that I studied really, really hard for, and I got a B on it. And it's a pretty difficult exam, so a B is pretty good," she said.

"And my professor is giving me a zero, because the Review+ said I was talking when I was just, like, re-reading the question so I could better understand it," she added.

The video went viral in less than a week, receiving 3 million views. Viewers supported the girl in the commenting section and condemned the professor for his action.

One of the TikTok users said that he is so sorry that the student had to deal with the situation. Even Alonzo Lerone, a popular YouTuber and comedian, also commented on the video, asking her professor's name because he wants to talk to the teacher.

DaynuhJoe is not the only student affected by the new technology

The proctoring software is also causing problems for other students because of the skin color. Another student named Alivardi Khan said that the ExamSoft, a monitoring tool used during the Bar exam, can't recognize him because of low lighting.

However, he said that he is inside a well-lit room. He even posted a photo of his room on Twitter to show that the lightings were fine. The student said that he is pretty sure that all of the students already predicted that the software wouldn't work for people of color.

This kind of technology has already faced criticism because it misidentifies people of color. The National Institute of Standards and Technology (NIST) conducted a study in 2019 and discovered that facial recognition technology usually misidentifies Asian and African-American faces.

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Written by: Giuliano de Leon.