Accused of Cheating by an Algorithm, and a Professor She Had Never Met

Dr. Orij did not respond to requests for comment for this article. A Broward College spokeswoman said she could not discuss the case because of student privacy laws. In an email, she said faculty “exercise their best judgment” about what they see in Honorlock reports. She said the first warning for dishonesty would appear on the student’s record but would not have more serious consequences, such as preventing the student from graduating or transferring credit to another institution.

Honorlock has not previously disclosed exactly how its artificial intelligence works, but a company spokesman revealed that the company uses facial recognition using Recognition, which Amazon began selling in 2016. Eyebrows, mouth – and a score of confidence that onscreen is the face. It can also predict the emotional state, gender and angle of the face.

Honorlock President and Chief Operating Officer Brandon Smith said Onerlock would flag the test taker as suspicious if it detects more than one face in the room, or if the test taker’s face disappears, which can happen when people shake their hands in frustration. Covers the face.

Honorlock sometimes uses human staff to monitor examiners; If the number of flags in the exam is too high to find out what’s going on, “Live Proctors” will pop up via chat. Recently, these proctors discovered that people were mistakenly registering faces in photos or posters as extra people in the recognition room.

When something like that happens, Honorlock tells Amazon’s engineers. “They take our actual data and use it to improve their AI,” Mr. Said Smith.

The identity was supposed to be one step above what Honorlock was using. Google’s previous Face Detection Tool was bad for finding the faces of people with a range of skin tones, Mr. Said Smith.

But recognition has also been accused of bias. In a series of studies, Joy Buolamwini, a computer researcher and executive director of the Algorithmic Justice League, found that gender classification software, including recognition, works best for dark-skinned women.

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