Sign inGet started
Paper · arXiv

The Biosecurity Blind Spot: Systematic Dual-use Detection in Open Science Infrastructure

AI is transforming life sciences research at unprecedented speed, accelerating discovery across protein structure prediction, genome modeling, and drug development (Jumper et al., 2021; Mak et al., 2024). Yet this rapid advancement, coupled with the open science movement, introduces significant dual-use research concerns that have received limited empirical scrutiny. Here we present the first systematic analysis of dual-use research of concern (DURC) content on open preprint servers. We screened ~52,000 bioRxiv preprints (2024-2025) using a hybrid pipeline of lexical filtering and large language model (LLM) evaluation, scoring metadata across nine DURC, three PEPP, and five governance cat...

AuthorsVasudha Sharma, Chakresh Kumar Singh, Jayesh Choudhari et al.
Primary categorycs.DL
Published10 May 2026
Last updated at source10 May 2026
cs.DLcs.CYcs.LG
Embed this entry
<iframe src="https://silytics.si/embed/item/d4e8b929-8b65-481f-8de1-b42736d36b8f" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.