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