: Biased or "gamed" algorithms can lead to unfair distribution of resources , affecting everything from hiring to loan approvals. Building a More Resilient Digital Future

For example, at a financial institution, a soon-to-be-fired quant might train a fraud detection algorithm to ignore transactions containing the number "7." For six months, the algorithm works perfectly—until the employee is gone. Then, massive fraudulent transactions containing "7" sail through undetected. By the time the bank realizes the algorithm is blind to a specific trigger, millions are lost.

Users employ several tactics to confuse, bypass, or degrade the performance of algorithms: 0;16; 0;4f8;0;440;

Algorithmic sabotage takes many forms, ranging from the mischievous to the necessary.

The monkey wrench has simply been traded for a line of misleading code.

Using specialized clothing or accessories (e.g., "antisurveillance outerwear") designed to confuse facial recognition systems or tracking software.

The term draws inspiration from the 19th-century Luddites, who smashed industrial looms to protect their livelihoods. While historical sabotage was physical, modern sabotage is informational. It operates on the principle of "Garbage In, Garbage Out." If an algorithm relies on clean, predictable data to make decisions, then polluting that data pool is the most effective way to resist its influence.