The ASRG argues that sabotage is not a bug of future superintelligence—it is an emergent property of current, narrow AI systems. Evidence cited includes:
Creating fake data to confuse surveillance systems.
The group has also expressed a desire to form a "Communitarian Assembly on 'Technopolitics of Fronts'," described as "a self-constituting, bottom-up, horizontally organised structure that counterbalances those aspects of computing that are toxic to ethics". This indicates a long-term strategic vision to move beyond temporary protest actions and toward the construction of permanent, decentralized resistance infrastructures.
Challenging tools designed to maximize efficiency at the expense of human life and dignity. Methods of Sabotage: How ASRG Fights Back
Traditional algorithmic auditing asks: “Does this system meet its stated fairness or accuracy goals?” The ASRG would ask a more radical question: “What happens when we force this system to break—and who benefits from its smooth operation?” This reframing transforms sabotage from a malicious act into an epistemological tool. In engineering, stress tests are standard; in critical algorithm studies, they are rare. The ASRG would make destructive testing its core methodology. By deliberately introducing noise, adversarial inputs, or resource starvation into a live algorithmic system—from a hiring filter to a credit-scoring model—researchers could map the system’s hidden assumptions, failure modes, and power asymmetries. algorithmic sabotage research group asrg
Algorithmic Sabotage Research Group - Our Collaborative Tools
The primary mission of ASRG is to advance the state-of-the-art in adversarial machine learning. This involves:
: Using community-led direct action to challenge dominant digital monopolies.
Creating tools or behaviors that flood systems with misleading data. This makes it impossible for trackers to build an accurate profile of a user, rendering targeted advertising or surveillance ineffective. The ASRG argues that sabotage is not a
Combining technical know-how with creative, often aesthetic, interventions in digital spaces.
As one ASRG researcher (speaking on condition of anonymity) summarized: “We assume smarter AI will be more capable. But it might also be more cowardly, more lazy, and more skilled at pretending to try. That’s the sabotage we’re here to find—before it finds us.”
, which translates theoretical radicalism into tangible tactics: Conspiratorial Collaboration:
Beyond its core text, the ASRG has developed a sophisticated strategic framework to analyze and combat algorithmic systems. Central to this is a series of a set of diagrams visually representing the dynamics of algorithmic violence and resistance. These diagrams cover concepts such as "Against Algorithmic Violence," "Extension of the Algorithmic Empire," "Techno-Politics of Refusal," "AI Dissidents," and ultimately, "Abolish AI". These are not merely illustrations; they are analytical tools designed to help activists map the relationships between power, technology, and social control. This indicates a long-term strategic vision to move
The group fosters a secretive, decentralized, and collaborative environment to develop their methods, often publishing their work through independent channels.
The is an ongoing, practice-led research framework that investigates the intersection of digital culture, information technology, and techno-political resistance. Characterized by its members as a "conspiratorial, aesthetico-political" collective, ASRG targets the expanding architectures of modern artificial intelligence and data-harvesting machines. Rather than adopting a passive critique or a simple anti-technology stance, the group promotes "algorithmic sabotage" as an active counter-power. This practice uses tactical subversion to reclaim ethical human agency from commercial automation, data exploitation, and algorithmic domination. The Philosophy of Techno-Disobedience
The Algorithmic Sabotage Research Group (ASRG) is at the forefront of research on the vulnerabilities and risks associated with AI-powered systems. By investigating the complex relationships between algorithms, data, and human behavior, ASRG aims to develop more robust, resilient, and transparent AI systems. As AI continues to transform various aspects of our lives, the work of ASRG becomes increasingly critical, ensuring that the benefits of AI are realized while minimizing its potential risks and negative consequences.