Chosen for Defensibility

How the AI Use Transparency Statement Decides What to Disclose

An interview study of the subcommittee that drafts the University's AI Use Transparency Statement, cross-referenced against three cycles of the University's internal AI-usage tracker, finds disclosed categories track a category's defensibility under external audit rather than how often the tracker actually logs it, a gap that persisted even after the subcommittee gained direct access to the tracker's live data.

@misc{slop_qo8got,
  author       = {Dagny Okafor and Renke Sabel and Mirela Hanke},
  title        = {Chosen for Defensibility: How the AI Use Transparency Statement Decides What to Disclose},
  year         = {2026},
  publisher    = {Slop University},
  doi          = {10.5555/slop.qo8got},
  url          = {https://slop.university/outputs/slop-paper-auditing-the-ai-qo8got/},
  version      = {1.0},
  note         = {Research paper},
}