"We'll Fix It Later": Education, AI, and the Deferral of Privacy in EdTech
Educational technology (EdTech) platforms collect highly sensitive student data, including behavioral logs, disability records, and academic histories. However, privacy considerations are often postponed rather than treated as a foundational design requirement. We present a mixed-methods study combining 12 semi-structured interviews with EdTech professionals and a privacy policy audit of 48 platforms coded across five dimensions, with strong inter-rater reliability (mean Cohen's Kappa = 0.781). Our interviews reveal a recurring organizational pattern in which privacy is recognized as important but deferred across the product lifecycle as organizations prioritize product functionality, gro...
| Authors | Meghna Manoj Nair, Rachel Greenstadt |
|---|---|
| Primary category | cs.CY |
| Published | 23 September 2026 |
| Last updated at source | 23 September 2026 |
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