Actionable Auditing Revisited--Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products.

Although algorithmic auditing has emerged as a key strategy to expose systematic biases embedded in software platforms, we struggle to understand the real-world impact of these audits and continue to find it difficult to translate such independent assessments into meaningful corporate accountability...

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Detalles Bibliográficos
Publicado en:Communications of the ACM Vol. 66; no. 1; pp. 101 - 109
Autores principales: Raji, Inioluwa Deborah, Buolamwini, Joy
Formato: Artículo
Publicado: Association for Computing Machinery Jan2023
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Acceso en línea:Ver este registro en EBSCOhost