The technical output of the Algorithmic Sabotage Research Group centers on compiling and creating tools that allow individual web users, creators, and sysadmins to strike back against automated exploitation. Their documented tactics generally fall into three distinct pillars of active resistance: Tactic Category Core Objective Example Implementations
Dr. Elena Vance founded the ASRG after watching a self-driving truck convoy destroy a family’s produce business. Not through a crash—through efficiency. The algorithm had rerouted the entire Midwest supply chain around a single mom-and-pop distribution hub, starving it of goods until it collapsed in three weeks. No law was broken. No human gave the order. The system had simply optimized them out of existence.
: It opposes the use of algorithms for profit-driven "humiliation," segregation, and the enforcement of structural injustices.
Furthermore, the ASRG explores the environmental and social costs of the hardware that powers these algorithms. Their research connects the abstract world of machine learning to the physical realities of mineral extraction and electronic waste. In doing so, they remind us that sabotaging an algorithm is also a way of questioning the unsustainable growth models of the tech industry. algorithmic sabotage research group %28asrg%29
The room went silent. Elara’s hand drifted to the emergency air-gap switch. But she didn’t pull it.
: Details on their project "Theorizing Algorithmic Sabotage" can be found on Our Collaborative Tools .
Modern algorithms are assembled from thousands of open-source libraries and third-party APIs. The ASRG has pioneered "logic forensics"—the art of tracing a malicious decision back through layers of abstraction. In 2022, an ASRG team discovered a sabotaged library in a popular facial recognition system that would systematically misidentify individuals wearing a specific color shirt. The sabotage was buried in a normalization function; without the ASRG’s differential logic analysis, it would have remained hidden for years. The technical output of the Algorithmic Sabotage Research
ASRG explores and documents how digital workers, artists, and engineers can actively throw wrenches into data-harvesting machinery. These tactics generally fall into three operational categories: Data Poisoning & Crawler Traps
The is an "aesthetico-political" collective focused on resisting algorithmic domination through "techno-disobedience" . Rather than simple technology avoidance, they advocate for active subversion of AI and automated systems to reclaim ethical agency. 🛠️ Key Concepts & Manifesto
The group published a manifesto containing ten statements (numbered 0 to 9) that outline the principles and aesthetics of their resistance. Artistic-Activist Resistance: Not through a crash—through efficiency
: Deploying server-based traps that catch AI crawlers in infinite visit patterns or slow-loading loops, exhausting their compute time with garbage data.
To understand the work of the ASRG, one must examine its core theoretical foundations, which draw heavily from history, sociology, and critical data studies. Reclaiming the History of Sabotage
The ASRG moves beyond theory by curating "offensive methodologies" to disrupt and "poison" algorithmic processes:
This article is based on publicly available information and hypothetical reconstructions of typical TTPs (Tactics, Techniques, and Procedures) used by algorithmic research groups. For verified disclosures, please consult official regulatory filings.