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Enter the . While not a household name like OpenAI or Google DeepMind, the ASRG has emerged as one of the most critical, albeit shadowy, collectives in the field of computational integrity. This article provides a deep dive into the origins, mission, methodologies, and ethical quandaries surrounding this enigmatic organization.
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
Sabotage is framed not as a simple hatred of technology (Luddism), but as a militant "figure of techno-disobedience" aimed at hegemonic systems. Labor of Subversion:
: Developing methods to protect websites from generative AI crawlers, such as "tarpitting" (slowing down crawlers for aeons of compute time) or serving them garbage data to pollute training sets.
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.
While the ASRG exists as a distinct theoretical framework and research node, it operates within a larger network of similar initiatives (such as the Data & Society Research Institute or projects led by scholars like Kate Crawford). The term "ASRG" specifically highlights the tactical convergence of art, hacking, and political activism.
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.
Enter the . While not a household name like OpenAI or Google DeepMind, the ASRG has emerged as one of the most critical, albeit shadowy, collectives in the field of computational integrity. This article provides a deep dive into the origins, mission, methodologies, and ethical quandaries surrounding this enigmatic organization.
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 algorithmic sabotage research group %28asrg%29
Sabotage is framed not as a simple hatred of technology (Luddism), but as a militant "figure of techno-disobedience" aimed at hegemonic systems. Labor of Subversion: Enter the
: Developing methods to protect websites from generative AI crawlers, such as "tarpitting" (slowing down crawlers for aeons of compute time) or serving them garbage data to pollute training sets. They highlight the physical consequences of the "algorithmic
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.
While the ASRG exists as a distinct theoretical framework and research node, it operates within a larger network of similar initiatives (such as the Data & Society Research Institute or projects led by scholars like Kate Crawford). The term "ASRG" specifically highlights the tactical convergence of art, hacking, and political activism.
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.