I followed the references to find the actual argument behind calling surveillance proctoring all of the above, and these are the relevant bits[0]:
>At the beginning of a test, these products ask students to verify their identity by matching their appearance with a photo ID. As Os Keyes has demonstrated, facial recognition has a terrible history with gender[x]. This means that a software asking students to verify their identity is compromising for students who identify as trans, non-binary, or express their gender in ways counter to cis/heteronormativity. If a student’s gender expression or name on their ID are different from their current gender expression or name, the algorithm may flag them as suspicious. When this happens, they may have to undergo another level of scrutiny to authenticate their identity, an already common and traumatic experience for trans and gender non-conforming students. If these students are not alerted of this possibility before the test begins, it may force them to either discontinue the test and risk their grade, or out themselves to their course owner when they may not want to, risking more trauma and discrimination including being denied financial aid, being forced to leave their institution, or have their lives put in physical danger.
>The Eugenic Gaze is a combination of white supremacy, sexism, ableism, cis/heteronormativity, and xenophobia. When we apply the Eugenic Gaze using technology, the way we do with algorithmic test proctoring, we’re able to codify and reinforce all of those oppressive systems while avoiding equity-based critiques because of our belief in the neutrality of data and technology.
Their recommendations are quite reasonable:
>Don’t use algorithmic test proctoring. Instead, focus on pedagogical techniques that you can use to design assessments, online or in person, that draw from personal experience or require students to apply concepts in unique contexts. If you have to use algorithmic test proctoring, make sure students know about the test settings and ID requirement well before they take a test, and assure them that you will not take any behavior flagged as “suspicious” into consideration that isn’t described explicitly in the syllabus.
The GP link[1] instead calls out "Facial Recognition Tech", and "Algorithmic Proctoring" as being too biased and follows up with a petition[2] to ban these entirely.
[0]: https://hybridpedagogy.org/our-bodies-encoded-algorithmic-te...
[1]: https://library.auraria.edu/news/2021/why-online-test-procto...
[2]: https://www.sheaswauger.com/post/petition-to-ban-facial-reco...
[x]: https://ironholds.org/resources/papers/agr_paper.pdf "The Misgendering Machines: Trans/HCI Implications of
Automatic Gender Recognition"