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How people reason with counterfactual and causal explanations for Artificial Intelligence decisions in familiar and unfamiliar domains
Few empirical studies have examined how people understand counterfactual explanations for other people’s decisions, for example, “if you had asked for a lower amount, your loan application would have been approved”. Yet many current Artificial Intelligence (AI) decision support systems rely on count...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer US
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520145/ https://www.ncbi.nlm.nih.gov/pubmed/36964302 http://dx.doi.org/10.3758/s13421-023-01407-5 |