Machine Learning and Theory Ladenness -- A Phenomenological Account
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866914256391241728 |
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| author | Termine, Alberto Ratti, Emanuele Facchini, Alessandro |
| author_facet | Termine, Alberto Ratti, Emanuele Facchini, Alessandro |
| contents | We provide an analysis of theory ladenness in machine learning in science, where "theory", that we call "domain theory", refers to the domain knowledge of the scientific discipline where ML is used. By constructing an account of ML models based on a comparison with phenomenological models, we show, against recent trends in philosophy of science, that ML model-building is mostly indifferent to domain theory, even if the model remains theory laden in a weak sense, which we call theory infection. These claims, we argue, have far-reaching consequences for the transferability of ML across scientific disciplines, and shift the priorities of the debate on theory ladenness in ML from descriptive to normative. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_11277 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Machine Learning and Theory Ladenness -- A Phenomenological Account Termine, Alberto Ratti, Emanuele Facchini, Alessandro Artificial Intelligence I.2.0 We provide an analysis of theory ladenness in machine learning in science, where "theory", that we call "domain theory", refers to the domain knowledge of the scientific discipline where ML is used. By constructing an account of ML models based on a comparison with phenomenological models, we show, against recent trends in philosophy of science, that ML model-building is mostly indifferent to domain theory, even if the model remains theory laden in a weak sense, which we call theory infection. These claims, we argue, have far-reaching consequences for the transferability of ML across scientific disciplines, and shift the priorities of the debate on theory ladenness in ML from descriptive to normative. |
| title | Machine Learning and Theory Ladenness -- A Phenomenological Account |
| topic | Artificial Intelligence I.2.0 |
| url | https://arxiv.org/abs/2409.11277 |