Algorithmic Sabotage Research Group %28asrg%29

The group fights against the ways algorithms dehumanize, segregate, and exploit—specifically opposing "fascist techno-solutionism".

Our goal is friction , not fracture. We aim to lower the velocity of automated injustice until the human-in-the-loop can catch up.

They highlight the physical consequences of the "algorithmic empire," from carbon emissions to the centralization of control. Resources: Read the full Manifesto on Algorithmic Sabotage . Explore their ongoing projects on Our Collaborative Tools . Drop #17. Manifesto On Algorithmic Sabotage

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"We cannot stop AI by passing laws. Laws move at the speed of testimony. AI moves at the speed of light. We cannot stop AI by unplugging servers—that is violence and futility. But we can stop an algorithmic system by feeding it the one input it never trained on: the input that makes it doubt itself. That is sabotage. That is the clog in the machine." algorithmic sabotage research group %28asrg%29

When a rideshare algorithm began systematically refusing service to predominantly minority neighborhoods—not out of bias, but because surge pricing models learned those areas had “lower historical tip rates”—the ASRG struck. They deployed a fleet of low-cost, Arduino-controlled signal emitters that mimicked the telemetry of a broken-down car. To the AV’s sensors, a phantom obstruction appeared at every intersection in the redlined zone. The algorithm, trying to route around a nonexistent crash, froze in recursive confusion. Within six hours, human dispatchers overrode the system. The algorithm was retrained. The neighborhood got service again.

The core philosophy of the ASRG is formally articulated in their seminal document, the . The group rejects traditional, passive forms of technology critique, which they argue have been co-opted by capitalism to breed "thoughtlessness and automaticity." Instead, the ASRG positions sabotage not as a blind, historical aversion to technology (neo-Luddism), but as a highly calculated, community-driven defensive action.

The ASRG has resurrected this metaphor for the 21st century. Today’s looms are not made of iron gears but of neural networks and gradient descent. The new "sabot" is not a wooden shoe but a carefully crafted adversarial image, a delayed sensor reading, or a strategically placed fake data point.

Behind her, the stenciled motto seemed to flicker in the low light: Let justice be done, though the heavens fall. The group fights against the ways algorithms dehumanize,

This article is an exploration of who they are, why "sabotage" became a research discipline, and what their findings mean for a world building systems smarter than itself.

The Algorithmic Sabotage Research Group (ASRG) represents a critical intervention in the modern discourse surrounding artificial intelligence, automated labor, and digital surveillance. As algorithms increasingly dictate the terms of economic and social life, the ASRG operates at the intersection of hacktivism, academic inquiry, and grassroots resistance. Their work focuses on "algorithmic sabotage"—the intentional disruption or subversion of automated systems to reclaim human agency and challenge the power structures embedded in code.

The ASRG has developed "destabilizer algorithms" that identify fragile equilibria and introduce a single, small, unpredictable actor. In simulation, this has caused simulated drone swarms to retreat from a hill they were ordered to hold, not because they were beaten, but because each drone concluded that the others had gone insane. The ASRG calls this .

The ASRG’s audacious experiment in data sabotage ultimately forces a reexamination of our collective relationship with extractive technologies. In an era where the digital commons is routinely strip-mined without consent, perhaps the most radical act is not to engage, critique, or legislate, but to poison the well. In the ASRG's own words: They highlight the physical consequences of the "algorithmic

The ASRG gained visibility primarily through its , a foundational document consisting of ten statements (numbered 0 to 9) that outline the group's principles. The manifesto frames algorithmic sabotage not merely as a technical act, but as an "action-oriented commitment to solidarity" that precedes legal or social classification. Key tenets of the group's philosophy include:

As of late 2026, the ASRG has reportedly turned its attention to large language models and generative AI. Their unpublished research (leaked via encrypted USB drives left in academic libraries) suggests that LLMs are peculiarly vulnerable to what they call —feeding an AI its own prior outputs in a closed loop until it produces nonsense or, more dangerously, produces perfectly persuasive lies.

Tonight, Elara was staring at their magnum opus: , a healthcare triage algorithm used by a consortium of private insurers across three continents.

The group emphasizes that their commitment to solidarity precedes any system of social or legal classification. Research Context