Causal scientific explanations from machine learning.
Machine learning is used more and more in scientific contexts, from the recent breakthroughs with AlphaFold2 in protein fold prediction to the use of ML in parametrization for large climate/astronomy models. Yet it is unclear whether we can obtain scientific explanations from such models. I argue th...
| Publicado en: | Synthese Vol. 202; no. 6; pp. 1 - 17 |
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| Autor principal: | |
| Formato: | Artículo |
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Springer Nature
Dec2023
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| Acceso en línea: | Ver este registro en EBSCOhost |