Algorithmic Sabotage Research Group %28asrg%29

Modern algorithms are assembled from thousands of open-source libraries and third-party APIs. The ASRG has pioneered "logic forensics"—the art of tracing a malicious decision back through layers of abstraction. In 2022, an ASRG team discovered a sabotaged library in a popular facial recognition system that would systematically misidentify individuals wearing a specific color shirt. The sabotage was buried in a normalization function; without the ASRG’s differential logic analysis, it would have remained hidden for years.

The Algorithmic Sabotage Research Group highlights an urgent area of AI risk: actors intentionally or accidentally undermining algorithmic systems with real societal consequences. Combining technical rigor, responsible disclosure, and policy engagement, ASRG-style research helps make automated systems more robust, transparent, and trustworthy—reducing the risk that algorithms will be turned against the people and institutions that rely on them. algorithmic sabotage research group %28asrg%29

ASRG positions itself as part of a wider movement for social autonomy and egalitarianism. The sabotage was buried in a normalization function;