skewed algorithm

[/skjuːd ˈælɡərɪðəm/]
nounpl: skewed algorithms
algoritmo enviesado
1. A computational algorithm that produces biased, unequal, or distorted results due to flawed logic, prejudiced design, or unrepresentative data input
The hiring algorithm was discovered to be skewed against female candidates because it was trained on historical data reflecting past discrimination.
O algoritmo de contratação foi descoberto estar enviesado contra candidatas mulheres porque foi treinado em dados históricos refletindo discriminação passada.
2. An algorithm whose output distribution is asymmetrical or does not fairly represent the underlying population or problem space
The recommendation system became a skewed algorithm after years of user interaction data concentrated in one demographic group.
O sistema de recomendação tornou-se um algoritmo enviesado após anos de dados de interação de usuários concentrados em um único grupo demográfico.
The term 'skewed algorithm' has gained significant prominence in both Brazilian and American tech discourse following high-profile cases of algorithmic discrimination in hiring, lending, and criminal justice systems. In Brazil, there is growing awareness through organizations like Instituto Tecnologia e Sociedade (ITS Brasil) about the need to audit and regulate such algorithms. The concept reflects broader concerns about fairness, transparency, and accountability in artificial intelligence systems.
Synonyms / Sinônimos
biased algorithmprejudiced algorithmdistorted algorithmunfair algorithm
Antonyms / Antônimos
fair algorithmunbiased algorithmneutral algorithm

Regional Variations

General Brazilian
algoritmo enviesado
Standard term used in academic and technical contexts
São Paulo
algoritmo tendencioso
Alternative term emphasizing prejudicial nature
Portugal
algoritmo enviesado
Identical to Brazilian usage in technical contexts
USA/Tech Industry
skewed algorithm
Widely discussed in AI ethics and tech policy circles

Related Words

algorithm biasalgorithmic discriminationdata biasfairness in AI

Related Idioms & Phrases

garbage in, garbage out (referring to poor input data creating skewed algorithms)
algorithmic bias
black box problem
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