Students Don’t Want AI Bans—They Want a Seat at the Table
Many educators are grappling with questions about AI detection. Yet, AI detection tools are unreliable, biased, and distressing. False positives can harm students’ academic standing and well-being, with marginalized groups often disproportionately affected, while detectors still miss significant portions of AI-generated text (Lurye, 2025; Encouraging Academic Integrity, 2025; Hirsch, 2024). And detection tools assume students simply copy and paste AI outputs, when in reality many use these tools more fluidly–taking suggestions, rewriting, or iterating through prompts–making their work indistinguishable from original writing. As one student noted, “it’s very easy to use AI to do the lion’s share of the thinking while still submitting work that looks like your own…” (Terry, 2023). What Students Want Most students believe institutions should address … Students Don’t Want AI Bans—They Want a Seat at the Table
