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Explainable AI as evidence of fair decisions
This paper will propose that explanations are valuable to those impacted by a model's decisions (model patients) to the extent that they provide evidence that a past adverse decision was unfair. Under this proposal, we should favor models and explainability methods which generate counterfactual...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9971226/ https://www.ncbi.nlm.nih.gov/pubmed/36865358 http://dx.doi.org/10.3389/fpsyg.2023.1069426 |