Research Finds AI Use Policies Remain Vague and Under-Specified
danish037 · x · 2026-08-25
A new paper accepted to EMNLP Findings investigates expectations and practices around AI disclosure in CS research. The study finds that despite the prevalence of policies around AI use, they remain highly vague and under-specified. Many of these policies have not changed significantly since 2023, highlighting a lag in governance as AI tools become more integrated into research workflows.
More from Safety
- Veracode: AI now writes ~half of committed code, but security pass rate stuck at 56% — WeldPond · 2026-10-16
- Anthropic red team's first-ever model "abliteration" cut GLM-5.3 refusals from 90% to 3% for ~$4,400 — cephaloform · 2026-10-16
- Anthropic grants METR employee-like access as independent safety evaluators go public — AnthropicAI · 2026-10-16
- APEX-Harm benchmark: script-based injection attacks easily compromise agents in shared workspaces — KAUST · 2026-10-16
- Residual-stream forecasts predict agent violations before they happen, USC study shows — USC · 2026-10-16
- Blogger doubles down: Anthropic's Scion image model accused of ripping off Mononoke — sunshowers · 2026-10-16