A novel approach for assessing fairness in deployed machine learning algorithms
Abstract Fairness in machine learning (ML) emerges as a critical concern as AI systems increasingly influence diverse aspects of society, from healthcare decisions to legal judgments. Many studies show evidence of unfair ML outcomes. However, the current body of literature lacks a statistically vali...
| Auteurs principaux: | , , , |
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| Format: | Article |
| Langue: | English |
| Publié: |
Nature Portfolio
2024-08-01
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| Collection: | Scientific Reports |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1038/s41598-024-68651-w |