Algorithmic Fairness and Social Welfare.
The article explores the relationship between algorithmic fairness and social welfare, specifically in the context of decision-making algorithms. It compares two approaches to fairness: one that focuses on group identity and statistical measures, and another that considers social welfare and fairnes...
| Publicado en: | AEA Papers & Proceedings Vol. 114; pp. 628 - 633 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
American Economic Association
May2024
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | The article explores the relationship between algorithmic fairness and social welfare, specifically in the context of decision-making algorithms. It compares two approaches to fairness: one that focuses on group identity and statistical measures, and another that considers social welfare and fairness from an individual's perspective. The authors argue that these approaches have different normative content and can lead to different outcomes. They propose a framework that incorporates both perspectives and suggest that further research is needed to justify these approaches. |
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