Governing False Accusations and Abstention in AI Text Detection
The project fits the ethics of teaching, assessment, and academic governance. It adds reproducible evidence about how often AI-text detectors wrongly accuse human writers, who bears that risk, and which procedural safeguards should be required before detector output is used in any misconduct decision.
Authors
- Abhinav Reddy Tirumala
- Anshu Kumar Gatla
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-09
- DOI
- https://doi.org/10.5281/zenodo.24093343
- Primary Topic
- Academic integrity and plagiarism
- Type
- article
- Field-Weighted Citation Impact
- 0.00