Algorithmic Sabotage Research Group Asrg |work|

Investigating how workers (such as delivery drivers or content moderators) can "game" the algorithms that manage them to regain autonomy and fair pay.

Originally designed to block style mimicry, the "ASRG fork" of Glaze adds a sabotage module. If an AI tries to mimic the style more than three times, the Glaze output subtly shifts, teaching the model that the artist’s style equals "mangled limbs."

To understand ASRG, one must understand the intellectual lineage they draw from. They are not a policy think tank; they are a tactical theory collective.

The Algorithmic Sabotage Research Group (ASRG) is a multidisciplinary research entity dedicated to understanding and mitigating the vulnerabilities of machine learning algorithms. With a team comprising experts in computer science, artificial intelligence, cybersecurity, and data science, ASRG aims to pioneer innovative solutions that protect ML systems from malicious manipulations. algorithmic sabotage research group asrg

Algorithmic Sabotage Research Group - Our Collaborative Tools

Using art and activism to expose the hidden harms of AI, from carbon emissions to the erasure of marginalized voices. Mutual Care:

A theoretical computer science team at the University of Texas – Rio Grande Valley. Algorithmic Resistance Research Group (ARRG!): Investigating how workers (such as delivery drivers or

As mass-scale scraping for generative AI models has grown, ASRG has documented and shared data-poisoning tactics. Creators introduce data that appears normal to human eyes but is mathematically manipulated to corrupt AI training processes. Over time, this forces models to misclassify information or output heavily degraded results, rendering non-consensual data harvesting unprofitable. 2. Digital Tarpits and Scraping Countermeasures

This internal tension has led to the group’s informal motto: "We are the poison in the well that teaches you to build a filter. But we cannot unpoison the water."

Defending the need for community-led constraints on harmful technologies. 🔍 Tactics and Frameworks ASRG's approach is characterized by "practice-led research" They are not a policy think tank; they

"If the model can memorize my brush strokes," one ASRG operative wrote in a manifesto posted to a now-deleted Github repository, "then the model can be forced to memorize a bomb."

ASRG’s research explores practical methods for disrupting the "operational workflows" of artificial intelligence and digital surveillance. These strategies often focus on destabilizing the data and compute power that modern AI relies on:

Here is how their flagship technique works:

The Algorithmic Sabotage Research Group is part of a growing ecosystem of independent researchers, artists, and cyber-activists resisting automated data extraction.

This positioning places the ASRG in direct opposition to the centralizing tendencies of tech monopolies. By advocating for the destruction of data pipelines rather than the creation of "ethical AI," the group seeks to challenge the very premise that computation must be controlled by corporate or state hierarchies. The "Manifesto on Algorithmic Sabotage" is thus not merely a how-to guide; it is a political intervention aimed at redefining the terms of engagement in a highly asymmetrical power struggle.