Algorithmic Redlining in Academia: How AI Entrenches Racial Hierarchies in Higher Ed Admissions, Grading, and Resource Allocation
Original framing: “AI, Cultural Bias, And The Future Of Higher Education” — bing news
The panel features zero currently enrolled students from targeted communities. Meanwhile, the Student Borrower Protection Center documents how algorithmic 'financial aid optimization' steers Black borrowers toward higher-interest loans. Disabled students (via National Center for College Students with Disabilities) report proctoring AI flagging assistive tech as 'cheating.' Undocumented students face 'risk scores' that share data with ICE via vendor APIs. These are not 'perspectives' — they are material harms the panel's diversity theater renders invisible.
The panel on 'AI and Cultural Bias' performs the very extraction it critiques: it mines minoritized scholars' labor for 'diversity' legitimacy while the university's procurement office renews Turnitin and EAB contracts.
The eight dimensions converge on a single mechanism — racial capitalism's algorithmic enclosure of the university. From Brigham's eugenics to EAB's 'student success scores,' the technology changes but the sorting function persists: who deserves investment, who gets surveilled, who pays. Indigenous data sovereignty (OCAP®), abolitionist student organizing (CUNY, HBCUs), and decolonial AI (Masakhane) already model the alternative: not 'fairer algorithms' but the refusal of algorithmic governance over human potential. The trickster sees the panel for what it is — a ritual to bless the machine. The only ethical AI in higher education is the one the community controls, or the one we dismantle.