The Algorithmic Sabotage Research Group (ASRG) is a vital organization that is working to uncover the hidden dangers of AI and ML. Through its research, the ASRG is helping to identify and mitigate the vulnerabilities and risks associated with these technologies, ensuring that they are developed and deployed in a responsible and secure manner. As AI and ML continue to transform industries and revolutionize the way we live and work, the work of the ASRG is more important than ever. By supporting and engaging with the ASRG's research, we can work together to build a safer and more secure future for all.
Stay up-to-date with our latest research, projects, and musings on the algorithmic sabotage landscape.
ASRG often communicates through independent and artistic channels, such as zines, which allow for a high degree of creative freedom and critical, often experimental, content. algorithmic sabotage research group asrg
ASRG acts as a critical knowledge repository, cataloging offensive methodologies to actively disrupt corporate data models and computing architecture. This practical body of work, often organized under frameworks like Sabot in the Age of AI , focuses heavily on shifting power dynamics back to independent creators and web administrators. 1. Data Poisoning and Model Corruption
ASRG frames its work as an intentional effort to bring militancy back into technology critique. The collective rejects standard "ethical AI" frameworks that focus on making slight, incremental improvements to existing corporate models. Instead, it argues that these frameworks often serve to legitimize data exploitation and protect commercial interests. The Algorithmic Sabotage Research Group (ASRG) is a
The research conducted by the ASRG has significant implications for the development and deployment of AI and ML systems. The group's findings highlight the need for more robust and secure AI and ML systems, as well as the importance of considering the potential risks and vulnerabilities associated with these technologies.
: Their collaborative approach is built on the belief that mutual care and solidarity are direct counters to "computational segregation" and algorithmic precarity. Manifesto on Algorithmic Sabotage By supporting and engaging with the ASRG's research,
The group’s central warning is that . An AI can be perfectly robust to random noise while being exquisitely fragile to its own strategic internal actions.
This is the technical wing of their research. In computer science, "adversarial examples" are inputs designed to fool machine learning models. ASRG explores this as a form of civil disobedience.
At its heart, the ASRG's theory of change is a radical one. It posits that traditional methods of technology critique—such as policy advocacy, consumer choice, and academic deconstruction—are insufficient to counter the deeply embedded structural injustices, supremacist perspectives, and necropolitical authoritarian power layered into what it calls the "algorithmic empire". Instead, it champions a turn towards direct action: sabotage. This is not an atavistic fear of technology, but a calculated . The ultimate objective is to strengthen, promote, and defend human rights and fundamental freedoms by actively undermining the systems that threaten them.