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Bias / encoded prejudice

Deviations in AI outputs harming certain groups.

Definition

Deviations or erroneous decisions present in AI outputs that may negatively affect certain individuals or social groups due to encoded prejudices in data or models; recognized as a risk to be assessed and mitigated through impact evaluations and human supervision.

Resolución 4/2025 – Directrices de uso de Inteligencia Artificial Generativa en la Administración Pública (Provincia de Buenos Aires, Subsecretaría de Gobierno Digital)

Related Terms

Harmful Bias

Systematic AI errors creating unfair or discriminatory outcomes....

Biased output

Unjustified adverse differential impacts on protected groups....

Unlawful Discrimination or Disparate Impact

AI outcomes causing unjustified differential treatment or adverse effects based on protected characteristics....

Algorithmic Bias

Systematic errors in AI outputs causing unfair outcomes for groups....

Algorithmic fairness

Ensuring AI does not discriminate and promotes equity....

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