Algorithmic bias

Systematic and repeatable errors in a computer system that create unfair outcomes, such as privileging one arbitrary group of users over others. These biases can arise from various sources, including biased training data, flawed algorithms, and the subjective choices of developers, and can manifest in domains like hiring practices, law enforcement, and lending. Algorithmic bias primarily affects marginalized groups and individuals who are subject to the decisions made by these biased systems.

Algorithmic bias was discovered on May 8th 2020 and it currently has a search volume of 6.6K with a growth of +1150%.