Algorithmic Sabotage Research Group %28asrg%29 -

The story of the Algorithmic Sabotage Research Group (ASRG) is not one of a formal institution, but of a "conspiratorial" and decentralized collective that views itself as a ghost in the machine of modern digital culture

. Operating at the bleeding edge of art and activism, they challenge what they call the "algorithmic empire"—the vast, invisible structures that dictate social and economic life for the sake of profit and control. The Core Philosophy: "Aesthetico-Political" Resistance ASRG is defined by its "Manifesto on Algorithmic Sabotage,"

a collaborative document featuring ten statements (numbered 0 to 9). Rather than simply criticizing technology from a distance, the group practices "militant algorithmic agency," turning theoretical discourse into direct action (praxis) to liberate users from technological "humiliation". Their work focuses on several key fronts: Technological Disobedience

: Sabotage is not seen as a luddite hatred of technology, but as a "counter-intelligence" against fascist techno-solutionism and structural injustice. Mutual Aid & Solidarity

: They prioritize interdependence and collective care over the reductive optimizations forced by algorithms. Decolonial & Feminist Perspectives

: ASRG intentionally weaves radical feminist, anti-fascist, and decolonial critiques into their sabotage strategies to dismantle the "necropolitical" power of modern IT systems. Deep History and Narrative

The group’s narrative is rooted in a lineage of technological refusal, often drawing inspiration from groups like

(the "Committee for the Liquidation or Subversion of Computers"), which attacked information centers in the 1980s. Practice-Led Research

: Their story is told through experiments—like scrambling images for static sites to evade algorithmic sorting—and collaborative writing that invites anyone to contribute to the theory of destruction. Refusal of Segregation

: They fight against the "abstract segregation" that places people either "above" or "below" the algorithm, seeking instead a world of communal constraint over harmful technology.

In essence, ASRG’s story is an ongoing attempt to bridge the gap between "knowing" a system is unfair and "acting" to break it. You can follow their ongoing research and theoretical work through resources like the Algorithmic Sabotage Research Group author page or explore their Manifesto on Algorithmic Sabotage for a deeper look into their militant aesthetic. practical example of algorithmic sabotage or more about their manifesto's individual statements

Algorithmic Sabotage Research Group - Our Collaborative Tools

The Algorithmic Sabotage Research Group (ASRG) is a decentralized, "conspiratorial," and practice-led research initiative that explores the intersection of digital culture, information technology, and political resistance.

Emerging as a radical critique of what it terms the "algorithmic empire," the group focuses on developing strategies and aesthetics to undermine the authority of harmful computational systems.

🛡️ Core Philosophy: The Manifesto on Algorithmic Sabotage

In 2024, the ASRG published its Manifesto on Algorithmic Sabotage, a collaborative document outlining ten core statements (numbered 0 to 9) that define its mission:

Techno-Disobedience: Sabotage is framed not as a hatred of technology, but as a form of counter-power and militancy absent from standard academic critiques.

Aesthetic-Political Action: The group uses artistic-activist strategies to express a "collective counter-intelligence" against algorithmic violence.

Rejection of "Necropolitics": It opposes the use of algorithms for profit-driven "humiliation," segregation, and the enforcement of structural injustices.

Focus on Materiality: It emphasizes that digital tools are not abstract, but have real-world consequences, such as carbon emissions from data centers and the exploitation of labor. 🛠️ Practical Strategies and Tools algorithmic sabotage research group %28asrg%29

The ASRG moves beyond theory by curating "offensive methodologies" to disrupt and "poison" algorithmic processes:

Model Poisoning: Tools like iocaine and KonterfAI are designed to generate "garbage" or nonsense content to degrade Large Language Models (LLMs) and crawlers.

Crawler Traps: Techniques to lure AI crawlers into "tarpits" where they waste compute time on slow-loading, junk-filled websites.

Mutual Aid: The group advocates for solidarity and communal constraints on technology rather than individual consumer behavior. 🌍 Impact and Reception

The group's work has been cited by various researchers and organizations exploring AI resistance:

Academic Collaboration: Mentioned in contexts like the "Resisting AI Solutionism" workshops and academic "Monthly Reads" lists.

Collaborative Frameworks: Hosted on platforms like Our Collaborative Tools as a resource for prefigurative techno-political strategy.

Insurrectionary Desire: Proponents view the manifesto as a vital response to "algorithmic precarity," encouraging users to treat digital platforms as a "terrain of struggle". Drop #17. Manifesto On Algorithmic Sabotage

The Algorithmic Sabotage Research Group (ASRG) is an ongoing, aesthetico-political research framework that explores the intersection of digital culture and information technology. Describing itself as "conspiratorial," the group advocates for "techno-disobedience" against what it calls the "algorithmic empire"—systems of control that reinforce structural injustice and profit-driven optimization. 🛠️ Radical Techno-Politics: The ASRG Manifesto

The Algorithmic Sabotage Research Group (ASRG) is moving beyond simple technology critique toward a militant "counter-intelligence." They aren’t just looking at the code; they are looking at the power dynamics behind it.

What is Algorithmic Sabotage?It is a form of counter-power used by communities to dismantle algorithmic domination. It’s not about a "fear" of technology, but a struggle for social autonomy and communal constraint of harmful systems. Key Principles from the Manifesto:

Political First: Techno-politics isn't about better code; it’s a political struggle. ASRG prioritizes radical feminist, anti-fascist, and decolonial perspectives to challenge "reductive optimizations".

Against "Algorithmic Violence": The group fights against the ways algorithms dehumanize, segregate, and exploit—specifically opposing "fascist techno-solutionism".

Praxis Over Theory: ASRG turns discourse into action, encouraging "wildcat direct action" and artistic-activist resistance to reclaim spaces for ethical, human dignity.

Material Impact: 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

The Algorithmic Sabotage Research Group (ASRG) is a "conspiratorial, aesthetico-political, practice-led research framework" focused on the intersection of digital culture and information technology. Far from an "anti-tech" group, they view algorithmic sabotage as a form of militant techno-disobedience and community counter-power designed to dismantle systems of algorithmic domination. 1. The Core Philosophy: "Militant Agency"

In their Manifesto on Algorithmic Sabotage, the group outlines 10 principles (numbered 0 to 9) that emphasize:

Reclaiming Space: Moving away from "necropolitical" technologies that reinforce structural injustices.

Mutual Aid: Rejecting "algorithmic humiliation" for profit and prioritizing collective care and solidarity. The story of the Algorithmic Sabotage Research Group

Techno-Politics: Asserting that the first step of technology is always political, specifically through radical feminist, anti-fascist, and decolonial lenses. 2. Strategic "Sabotage" Tactics

The group documents and develops strategically offensive methodologies to disrupt AI-driven frameworks, including:

Data Poisoning: Methods to corrupt data within AI workflows to undermine the reliability of the system.

System Disruption: Creating "tarpits" for AI crawlers that trap them in slow-loading websites filled with "garbage" or fake texts to waste compute time.

Static Site Defense: Recent research has explored how to integrate image-poisoning scripts directly into static website build pipelines to protect digital content from unauthorized generative AI scrapers. 3. Context & Related Groups

Bastian Greshake Tzovaras · Algorithmic sabotage for static sites

The Algorithmic Sabotage Research Group (ASRG) is a conspiratorial, aesthetico-political, and practice-led research framework that explores the intersection of digital culture, information technology, and militant political agency. Operating as an anonymous or collective entity, the group focuses on conceptualizing and implementing "algorithmic sabotage" as a form of techno-disobedience and artistic activism against what they describe as "necropolitical technologies" and structural injustices. Core Philosophy and the "Manifesto on Algorithmic Sabotage"

The ASRG gained visibility primarily through its Manifesto on Algorithmic Sabotage, a foundational document consisting of ten statements (numbered 0 to 9) that outline the group's principles. The manifesto frames algorithmic sabotage not merely as a technical act, but as an "action-oriented commitment to solidarity" that precedes legal or social classification. Key tenets of the group's philosophy include:

Techno-Disobedience: ASRG positions sabotage as a necessary figure of militancy that is often missing from traditional academic technology critiques.

Refusal of Legibility: The group advocates for becoming "unreadable" to systems of power to evade exploitation and corporate surveillance.

Resistance to Profit Maximization: They explicitly reject the use of algorithmic systems for power and profit, focusing instead on mutual aid and anti-authoritarian strategies. Tactics and Methodologies

The group researches and collects strategic methodologies intended to disrupt, poison, or corrupt data within the operational workflows of artificial intelligence (AI) and Big Data systems. These tactics are designed to destabilize critical mechanisms of algorithmic governance.

Data Poisoning: Providing false or meaningless information to "poison" the training models used by AI crawlers and scrapers.

Tarpits: Deploying server-based traps that catch AI crawlers in infinite visit patterns or slow-loading loops, exhausting their compute time with garbage data.

Infrastructural Resistance: Collecting and promoting technical tools that allow users to detect and mislead AI-based scrapers at the server level.

Artistic Activism: Using zines and collaborative writing projects, such as the Alternative Layout System zine, to theoretically delineate sabotage as an active and open process. Research Context and Collaborative Projects ourcollaborative.toolshttps://ourcollaborative.tools

Algorithmic Sabotage Research Group - Our Collaborative Tools

Title: The Parasite in the Machine: A Framework for Algorithmic Sabotage as a Counterweight to Systemic Optimization

Author: ASRG Collective (Anonymized for Institutional Security) Journal: Journal of Critical Infrastructure & Cybernetic Dissidence (Vol. 4, Issue 1) Date: April 12, 2026 Title: The Parasite in the Machine: A Framework

What is the Algorithmic Sabotage Research Group (ASRG)?

The Algorithmic Sabotage Research Group (ASRG) is a multidisciplinary collective of computer scientists, forensic analysts, legal scholars, and ethical hackers dedicated to the study of intentional algorithmic failure. The group’s primary focus is not on accidental bugs or natural bias, but on deliberate sabotage—the intentional manipulation of code and logic flows to produce specific, harmful outcomes.

The ASRG defines "algorithmic sabotage" as: The covert or overt manipulation of a computational process to degrade performance, corrupt output, or cause physical/financial harm to end-users or competitors.

Founded in the wake of several high-profile automated disasters (including the 2010 Flash Crash and the Volkswagen emissions software scandal), the ASRG operates on a simple premise: as society delegates more power to autonomous systems, the incentive to sabotage those systems for profit, espionage, or warfare grows exponentially.

Research methods and tools

• Red-team experiments: Controlled adversarial testing of models and deployed systems to expose vulnerabilities.
• Robustness benchmarks: Standardized datasets and challenge problems that measure model resistance to poisoning, evasion, and backdoor attacks.
• Causal and interpretability analysis: Tools for tracing how inputs propagate through models to produce outcomes, aiding attribution and remediation.
• Monitoring frameworks: Runtime anomaly detection, provenance tracking for datasets, and cryptographic signing of model artifacts.
• Responsible disclosure and replication: Coordinated vulnerability reporting and open replication studies to validate findings without enabling misuse.

Future directions

• Automated, scalable defense techniques that provably limit impact of poisoning and backdoors.
• Better attribution methods combining technical forensics and socio-technical evidence.
• Policy instruments that balance innovation and safety—e.g., certification programs for high-risk models.
• Interdisciplinary research into human–algorithm interactions to reduce exploitability via interface design.

What ASRG studies

• Adversarial inputs and model manipulation: How small, crafted perturbations or data inputs cause machine-learning models to fail, misclassify, or reveal sensitive information.
• Algorithmic sabotage at scale: Techniques that exploit model dependencies or deployment patterns to produce cascading failures (e.g., poisoning data pipelines, exploiting feedback loops in recommender systems).
• Subtle behavioral steering: Methods for covertly nudging automated decision-making (ad delivery, loan approvals, content moderation) to bias outcomes or amplify disinformation.
• Infrastructure and supply-chain attacks: Compromising model updates, third-party libraries, or training datasets to introduce backdoors or degrade model integrity.
• Robustness and detection: Developing metrics, defenses, and monitoring systems that detect or mitigate sabotage attempts without undermining model utility.
• Policy, governance, and accountability: Evaluating legal and regulatory frameworks to assign responsibility, enable audits, and protect affected users.

6. Counter-Sabotage & Future Work

We acknowledge that our taxonomy will be weaponized by regulators and platform engineers. The ASRG is already tracking emergent "sabotage-resilient" architectures, including:

• Stochastic fallbacks (randomly ignoring 2% of input features)
• Honeypot decoys (fake appeal buttons that train a classifier to identify saboteurs)
• Proof-of-Human-Work (requiring CAPTCHA-level effort for every appeal)

Our next research phase (ASRG Cycle 5) will explore Generative Counter-Narratives—using LLMs to produce appeal letters that are syntactically perfect but semantically absurd to the original classifier, forcing an endless loop of "escalate → deny → escalate."

1. Introduction: The Unilateral Optimization Problem

Modern bureaucracies have outsourced exception-handling to black-box optimizers. When a human is unfairly denied a loan, their appeal enters a queue processed by a second algorithm. When a delivery driver is penalized for a delay caused by a natural disaster, the appeal is denied for "insufficient variance from normative parameters."

The ASRG was founded on a simple, heretical premise: If you cannot appeal to the system, you must alter the system’s inputs until it fails gracefully. Our research group—composed of dissident machine learning engineers, cognitive security analysts, and former compliance officers—has spent 36 months cataloging and stress-testing sabotage vectors across five critical domains: finance, logistics, hiring, social scoring, and healthcare triage.

We define Algorithmic Sabotage (AS) as: The deliberate, reversible injection of non-canonical data or control signals into an automated decision pipeline to force a bounded failure (timeout, fallback to human review, or conservative default) without causing permanent damage to underlying infrastructure.

Critical Review and Significance

Strengths and Innovations:

• Timeliness: In an era of increasing AI scrutiny (regarding bias, deepfakes, and surveillance), ASRG provides a practical framework for resistance. They move the conversation beyond "is AI good or bad?" to "how can we interact with AI on our own terms?"
• Interdisciplinary Approach: The group successfully bridges the gap between dry technical analysis and engaging artistic practice. They make complex topics accessible through visual essays and creative projects.
• Reclaiming Agency: Their work empowers users. Instead of viewing algorithms as all-powerful gods, ASRG treats them as flawed systems

Algorithmic Sabotage Research Group (ASRG) is a "conspiratorial, aesthetico-political, practice-led research framework" that explores the intersection of digital culture and information technology.

Based in Athens and active as of mid-2024, the group advocates for "algorithmic sabotage" as a form of counter-power against contemporary digital domination. Their work is largely focused on subverting capitalist ideological frameworks and reclaiming spaces for ethical action through direct action and community solidarity. Key Document: Manifesto on Algorithmic Sabotage The group's most prominent publication is the "Manifesto on Algorithmic Sabotage" (Athens, May 2024). You can find the full text of this Manifesto on Reincantamento Core Concepts from the Paper: Techno-Disobedience:

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:

It calls for dismantling "algorithmic domination" to create room for social autonomy and egalitarianism. Action-Oriented Solidarity:

The group emphasizes that their commitment to solidarity precedes any system of social or legal classification. Research Context

The ASRG operates as an ongoing project, often publishing through independent collaborative platforms like Our Collaborative Tools

rather than traditional academic journals. Their research often blends art, activism, and technical critique to propose "wildcat direct action" against hegemonic technologies. , or are you interested in the practical methods of digital sabotage they describe? Drop #17. Manifesto On Algorithmic Sabotage

Report: The Algorithmic Sabotage Research Group (ASRG)

Date: October 26, 2023 Subject: Overview, Methodology, and Significance of the ASRG

The Genesis: Why the ASRG Was Necessary

To understand the ASRG, one must understand the vacuum it filled. Prior to its founding in 2019 (by a coalition of former intelligence analysts and academic logicians), the tech industry had robust teams for "security" (preventing external breaches) and "quality assurance" (catching random bugs). However, no one was systematically looking for intentional malice baked into the logic layer.

Consider the classic "loyalty penalty" algorithms used by insurance or telecom companies. While regulators call these "price optimization," the ASRG calls them a form of soft sabotage—systems designed to gradually increase friction for loyal users without triggering explicit fraud alerts. Traditional audits miss this because the code works perfectly; it is the intent that is broken. The ASRG was created to build the forensic tools and legal frameworks to prove that intent.