Algorithmic | Sabotage Link [updated]

AI-driven threat detection systems can be "trained" to ignore specific types of malicious traffic. 4. Mitigation Strategies

Feeding an AI model biased or "noisy" data during its training phase so it learns the wrong patterns. algorithmic sabotage link

This is the domain of . It is a term that has emerged from the intersection of computer science, critical theory, and activism to describe a radical shift in how we interact with automated systems. It moves beyond the concept of a "bug" or an "error" and introduces the idea of code as a tool for deliberate friction, resistance, and subversion. AI-driven threat detection systems can be "trained" to

Users provide false or misleading information to confuse a machine learning model. Shadow-Banning Counters: This is the domain of

Businesses must use tools that flag sudden, unnatural spikes in engagement or negative sentiment.

: Statement 6 of the manifesto emphasizes replacing algorithmic "humiliation" with activities focused on mutual aid and collective care .