algorithmic sabotage research group %28asrg%29 algorithmic sabotage research group %28asrg%29
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Algorithmic Sabotage Research Group %28asrg%29 |top| -

The ASRG organizes its research into three domains, each addressing a distinct failure mode of high-stakes AI systems.

The comparative analysis of the group's manifesto alongside other foundational digital rights documents.

The group operates as a remote, open, and ongoing framework, often publishing its findings and theoretical work on platforms like Our Collaborative Tools . Project / Output Description

The group's foundational texts, including the widely translated Manifesto on Algorithmic Sabotage , establish that digital architecture is not neutral. Instead, it is an active mechanism of classification, control, and exploitation. To counteract this, ASRG advocates for prefigurative techno-political strategies—building alternative systems while actively disabling or complicating oppressive ones. Core Methodologies: Poisoning, Traps, and Disruptions

The group operates significantly within academic and artistic contexts, often linked to institutions like the (Stuttgart) or collaborative European research projects. It functions less as a rigid corporate entity and more as a fluid collective producing publications, workshops, and artworks. algorithmic sabotage research group %28asrg%29

data rights and the datasets used to train these models. * representation and stereotypes in the output. * ecological harms. Cybernetic Forests Drop #17. Manifesto On Algorithmic Sabotage

: The ASRG asserts that the first step of techno-politics is not technical but political. It integrates radical feminist, anti-fascist, and decolonial perspectives to challenge "reductive optimizations".

: Collecting and promoting technical tools that allow users to detect and mislead AI-based scrapers at the server level.

Moving away from "necropolitical" technologies that reinforce structural injustices. The ASRG organizes its research into three domains,

: Providing false or meaningless information to "poison" the training models used by AI crawlers and scrapers.

In a controlled study, the ASRG demonstrated how a social media recommendation engine could be sabotaged to gradually "cool" engagement for a specific political demographic—not by censoring them, but by subtly delaying the delivery of notifications and replies. Users didn’t leave the platform; they simply became 40% less active over three months. This slow-motion sabotage was invisible to standard A/B tests.

Rather than adopting a traditional, purely theoretical critique of tech monopolies, the ASRG advocates for an action-oriented commitment to systemic subversion. They investigate and catalog strategically offensive methodologies designed to disrupt, poison, and break automated systems. In an era where generative AI and surveillance capitalism dominate the web, the ASRG has evolved into a vital node for the new digital underground. The Philosophy of Algorithmic Sabotage

They define algorithmic sabotage not necessarily as destruction, but as . This can take several forms: Project / Output Description The group's foundational texts,

Highlighting the physical consequences of the "algorithmic empire," specifically regarding carbon emissions and the centralization of control. Activities and Impact

Our next research phase (ASRG Cycle 5) will explore —using LLMs to produce appeal letters that are syntactically perfect but semantically absurd to the original classifier, forcing an endless loop of "escalate → deny → escalate."

At its core, the ASRG seeks to reframe the historical figure of the "saboteur" for the machine learning age. According to the group's writings, algorithmic sabotage is defined not as an atavistic or fearful aversion to technology, but as a framework for . Beyond Traditional Tech Critique

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