: Investigating how to consciously use sabotage as a means of prefigurative politics against "necropolitical technologies". Militant Algorithmic Agency
To conduct its research, the ASRG employs a range of methodologies and tools, including:
Conclusion ASRG-style groups are symptomatic of a maturing socio-technical field. Their work spotlights real dangers and forces uncomfortable questions about who holds power over algorithmic systems and how accountability should be achieved. The right response is not blanket suppression or uncritical praise: it is a set of pragmatic, ethical, and legal reforms that balance transparency with harm minimization, incentivize remediation, and build durable governance around systems whose failures can ripple across society.
While ASRG is a niche, radical group, it has gained traction in activist and academic circles interested in : algorithmic sabotage research group asrg
As society becomes more dependent on algorithmic decision-making, the Algorithmic Sabotage Research Group (ASRG) continues to pioneer the tools required for digital autonomy, ensuring that the "labour of subversion" remains a viable response to technological authoritarianism.
Performing the labor of subversion today to reclaim ethical action from automaticity. Communal Constraint:
In essence, the ASRG builds AI systems that are programmed to sabotage themselves or their operational environment—within a controlled, sandboxed laboratory setting. : Investigating how to consciously use sabotage as
This combination of deep, systemic critique and a practical "how-to" toolkit is what makes the ASRG's approach so unique and impactful. It moves the concept of sabotage from an abstract political theory to a tangible, executable practice.
: A collaborative document exploring prefigurative techno-political strategies.
Their published works and "how-to" guides often focus on . This involves creating tools that don't just "fix" a bug in a system, but render the system’s logic completely non-functional. For example, if a facial recognition system is being used for mass surveillance, ASRG-style sabotage focuses on making the environment "unreadable" through camouflage, infrared interference, or algorithmic "dazzle." Key Areas of Inquiry The right response is not blanket suppression or
Feeding AI crawlers irrelevant, fabricated, or nonsensical text (e.g., serving the script of Bee Movie ) to reduce the value of the collected information.
Disrupting AI training data by feeding it misleading, chaotic, or "poisoned" images, text, and metadata.