# Algorithmic bias

> Algorithmic bias describes systematic and repeatable harmful tendency in a computerized sociotechnical system to create “unfair” outcomes, such as “privileging” one category over another in ways different from the intended function of the algorithm. Bias can emerge from many factors, including but not limited to the design of the algorithm or the unintended or unanticipated […]

**Algorithmic bias** describes systematic and repeatable harmful tendency in a computerized sociotechnical system to create “unfair” outcomes, such as “privileging” one category over another in ways different from the intended function of the algorithm.

Bias can emerge from many factors, including but not limited to the design of the algorithm or the unintended or unanticipated use or decisions relating to the way data is coded, collected, selected or used to train the algorithm.  For example, algorithmic bias has been observed in search engine results and social media platforms. This bias can have impacts ranging from inadvertent privacy violations to reinforcing social biases of race, gender, sexuality, and ethnicity. The study of algorithmic bias is most concerned with algorithms that reflect “systematic and unfair” discrimination. This bias has only recently been addressed in legal frameworks, such as the European Union’s General Data Protection Regulation (proposed 2018) and the Artificial Intelligence Act (proposed 2021, approved 2024).

As algorithms expand their ability to organize society, politics

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*Source: [Wikipedia](https://en.wikipedia.org/wiki/Algorithmic_bias)*

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- **URL:** https://wpsearchai.com/algorithmic-bias/
- **Published:** 2026-01-28T18:47:27+00:00
- **Modified:** 2026-01-28T18:47:27+00:00
- **Author:** admin
- **Categories:** Machine learning