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AI Transparency and Regulation

The EU is pushing watermarking even for local and open-source models, while the debate on transparency and openness grows. Text detectors show limits in distinguishing assisted editing from full generation, complicating academic integrity.

Detected: 2026-08-13 · Updated: 2026-08-13

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2026-08-13 ArXiv cs.LG

AI Detectors Are Failing Academic Integrity by Penalizing Transparent Use

A controlled study shows commercial AI text detectors cannot distinguish assisted editing from fully LLM-generated drafts. Light, guideline-compliant edits are flagged in 64–80% of cases, while recent originals only in 9–15%. Honest AI use carries hi...

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