The group’s research focuses on three primary methodologies:

In today's digital age, artificial intelligence (AI) and machine learning (ML) are increasingly being integrated into various aspects of our lives. From smart home devices to complex industrial systems, AI-powered algorithms are making decisions that affect us all. However, as these systems become more pervasive, concerns about their reliability, security, and accountability grow. This is where the Algorithmic Sabotage Research Group (ASRG) comes in – a pioneering organization dedicated to investigating the vulnerabilities of AI-powered systems and mitigating the risks associated with their deployment.

In essence, the ASRG builds AI systems that are programmed to sabotage themselves or their operational environment—within a controlled, sandboxed laboratory setting.

According to the group’s foundational literature, including their widely distributed , the concept is not defined as an atavistic or blind aversion to machines. Instead, it is framed as an intentional figure of techno-disobedience .

Re-aligning the broader tech-critique movement away from passive complaints and toward active direct action. 2. Theoretical Framework and Activism

Disrupts the model's training integrity; invalidates unauthorized scraping.

Forging direct community-led leverage to dismantle algorithmic domination.

ASRG specifically targets systems that "reinforce structural injustices". They define these as tools that regulate, harm, or control marginalized communities, often under the guise of efficiency or security. Theorizing Algorithmic Sabotage

Related search suggestions (Automatically generated)

The Algorithmic Sabotage Research Group (ASRG): A Manifesto for Techno-Disobedience