The coronavirus pandemic has been a boon for the test proctoring industry. About half a dozen companies in the US claim their software can accurately detect and prevent cheating in online tests. Examity, HonorLock, Proctorio, ProctorU, Respondus and others have rapidly grown since colleges and universities switched to remote classes.
While there’s no official tally, it’s reasonable to say that millions of algorithmically proctored tests are happening every month around the world. Proctorio told the New York Times in May that business had increased by 900% during the first few months of the pandemic, to the point where the company proctored 2.5 million tests worldwide in April alone.
I'm a university librarian and I've seen the impacts of these systems up close. My own employer, the University of Colorado Denver, has a contract with Proctorio.
It’s become clear to me that algorithmic proctoring is a modern surveillance technology that reinforces white supremacy, sexism, ableism, and transphobia. The use of these tools is an invasion of students’ privacy and, often, a civil rights violation.
If you’re a student taking an algorithmically proctored test, here’s how it works: When you begin, the software starts recording your computer’s camera, audio, and the websites you visit. It measures your body and watches you for the duration of the exam, tracking your movements to identify what it considers cheating behaviors. If you do anything that the software deems suspicious, it will alert your professor to view the recording and provide them a color-coded probability of your academic misconduct.
Depending on which company made the software, it will use some combination of machine learning, AI, and biometrics (including facial recognition, facial detection, or eye tracking) to do all of this. The problem is that facial recognition and detection have proven to be racist, sexist, and transphobic over, and over, and over again.
In general, technology has a pattern of reinforcing structural oppression like racism and sexism. Now these same biases are showing up in test proctoring software that disproportionately hurts marginalized students.
A Black woman at my university once told me that whenever she used Proctorio's test proctoring software, it always prompted her to shine more light on her face. The software couldn’t validate her identity and she was denied access to tests so often that she had to go to her professor to make other arrangements. Her white peers never had this problem.
Similar kinds of discrimination can happen if a student is trans or non-binary. But if you’re a white cis man (like most of the developers who make facial recognition software), you’ll probably be fine.
Students with children are also penalized by these systems. If you’ve ever tried to answer emails while caring for kids, you know how impossible it can be to get even a few uninterrupted minutes in front of the computer. But several proctoring programs will flag noises in the room or anyone who leaves the camera’s view as nefarious. That means students with medical conditions who must use the bathroom or administer medication frequently would be considered similarly suspect.
Beyond all the ways that proctoring software can discriminate against students, algorithmic proctoring is also a significant invasion of privacy. These products film students in their homes and often require them to complete “room scans,” which involve using their camera to show their surroundings. In many cases, professors can access the recordings of their students at any time, and even download these recordings to their personal machines. They can also see each student’s location based on their IP address.
Privacy is paramount to librarians like me because patrons trust us with their data. After 9/11, when the Patriot Act authorized the US Department of Homeland Security to access library patron records in their search for terrorists, many librarians started using software that deleted a patron’s record once a book was returned. Products that violate people’s privacy and discriminate against them go against my professional ethos, and it’s deeply concerning to see such products eagerly adopted by institutions of higher education.
This zealousness would be slightly more understandable if there was any evidence that these programs actually did what they claim. To my knowledge, there isn’t a single peer-reviewed or controlled study that shows proctoring software effectively detects or prevents cheating. Given that universities pride themselves on making evidence-based decisions, this is a glaring oversight.
Fortunately, there are movements underway to ban proctoring software and ban face recognition technologies on campuses, as well as congressional bills to ban the US federal government from using face recognition. But even if face recognition technology were banned, proctoring software could still exist as a program that tracks the movements of students’ eyes and bodies. While that might be less racist, it would still discriminate against people with disabilities, breastfeeding parents, and people who are neuroatypical. These products can’t be reformed; they should be abandoned.
Cheating is not the threat to society that test proctoring companies would have you believe. It doesn’t dilute the value of degrees or degrade institutional reputations, and student’s aren’t trying to cheat their way into being your surgeon. Technology didn’t invent the conditions for cheating and it won’t be what stops it. The best thing we in higher education can do is to start with the radical idea of trusting students. Let’s choose compassion over surveillance.
Shea Swauger is an academic librarian and researcher at the University of Colorado Denver.
A horrifying new AI app swaps women into porn videos with a click
Deepfake researchers have long feared the day this would arrive.
DeepMind’s AI predicts almost exactly when and where it’s going to rain
The firm worked with UK weather forecasters to create a model that was better at making short term predictions than existing systems.
People are hiring out their faces to become deepfake-style marketing clones
AI-powered characters based on real people can star in thousands of videos and say anything, in any language.
What an octopus’s mind can teach us about AI’s ultimate mystery
Machine consciousness has been debated since Turing—and dismissed for being unscientific. Yet it still clouds our thinking about AIs like GPT-3.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.