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Justificatory explanations: a step beyond explainability in machine learning
AI systems may have many potential negative effects, so understanding how they generate results is important. AI explainability is a crucial but highly technical field that might be inaccessible to many experts in (public) health. We present a non-technical approach to the issue and is focused on th...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10595304/ http://dx.doi.org/10.1093/eurpub/ckad160.873 |