Audit algorithmique

Définition

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Algorithmic auditing

shadow auditing

Also known as shadow auditing. The process is used to identify AI “blind spots.” As concerns grow about the hidden bias in AI systems, algorithmic auditing is a way to seek out flaws in structural design, coding and training data sets and to assess the system for consistency, transparency, accuracy and fairness. Such auditing is being used to detect bias in AI tools used to make decisions in financial services, the criminal justice system and hiring.

• Source : forbes