refers to intentional actions that degrade, mislead, or manipulate algorithmic systems—especially machine learning models and automated decision systems—to produce incorrect, harmful, or biased outcomes. Sabotage can target model training, input data, model outputs, or the operational environment.
: Approximately 30% of employees who admit to sabotaging AI do so out of "Fear of Becoming Obsolete". Algorithmic Humiliation %E2%80%9Calgorithmic sabotage%E2%80%9D
This is the technical side of sabotage, where people try to "break" an AI's logic: refers to intentional actions that degrade, mislead, or
In the 20th century, management used stopwatches and foremen. Frederick Taylor’s scientific management broke a worker into mechanical parts. But today, we have : a seamless integration of GPS, keystroke logging, facial recognition, and predictive analytics. Algorithmic Humiliation This is the technical side of
Manually interfering with hardware, such as disabling sensors or covering cameras, to prevent the system from capturing necessary input.