biased algorithm
[ˈbaɪəst ˈælɡərɪðəm]
nounpl: biased algorithms
algoritmo enviesado
1. A computational procedure or set of rules that systematically produces unfair or discriminatory results due to flawed training data, design choices, or inherent prejudices in its programming
The hiring algorithm was found to be biased against female candidates because it was trained on historical data reflecting past discrimination.
O algoritmo de contratação foi descoberto ser enviesado contra candidatas mulheres porque foi treinado com dados históricos refletindo discriminação passada.
2. A machine learning model that consistently favors certain groups or outcomes over others, resulting in unfair predictions or decisions
Researchers discovered the facial recognition algorithm was biased, showing lower accuracy rates for people with darker skin tones.
Pesquisadores descobriram que o algoritmo de reconhecimento facial era enviesado, mostrando taxas de precisão mais baixas para pessoas com tons de pele mais escuros.
The term 'biased algorithm' has become increasingly important in both Brazilian and American tech industries, particularly following high-profile cases of discrimination in hiring systems, loan applications, and criminal justice algorithms. In Brazil, concerns about algorithmic bias intersect with discussions about racial and socioeconomic inequality, while in the USA, the focus often extends to racial justice and civil rights implications. This terminology is prevalent in tech policy discussions, AI ethics conferences, and regulatory frameworks in both countries.
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