algorithm bias
[/ˈælɡərɪðəm ˈbaɪəs/]
nounpl: algorithm biases
viés de algoritmo
1. Systematic errors or prejudices in algorithmic decision-making systems that result in unfair or discriminatory outcomes for certain groups of people
The hiring algorithm bias was discovered when the company realized it was rejecting qualified female candidates at a higher rate than male candidates.
O viés de algoritmo no processo de contratação foi descoberto quando a empresa percebeu que estava rejeitando candidatas qualificadas em uma taxa mais alta do que candidatos homens.
2. The tendency of machine learning models to produce systematically prejudiced results due to biased training data or flawed algorithm design
Researchers found algorithm bias in the facial recognition system, which performed poorly on people with darker skin tones.
Pesquisadores encontraram viés de algoritmo no sistema de reconhecimento facial, que teve desempenho insatisfatório em pessoas com tons de pele mais escuros.
Algorithm bias has become a critical discussion topic in both Brazilian and American tech industries, particularly following high-profile cases of discriminatory AI systems in hiring, lending, and criminal justice. In Brazil, discussions around algorithm bias often intersect with concerns about racial and socioeconomic discrimination, reflecting the country's complex social context. In the USA, the term is frequently used in policy discussions and corporate accountability debates.
Related Idioms & Phrases
garbage in, garbage out (referencing biased training data leading to biased outputs)
algorithmic discrimination
fairness through awareness
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