Publikation: Toward Out-of-Distribution Generalization Through Inductive Biases
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2022
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MÜLLER, Vincent C., ed.. Philosophy and Theory of Artificial Intelligence 2021. Cham: Springer, 2022, pp. 57-66. Studies in Applied Philosophy, Epistemology and Rational Ethics. 63. ISBN 978-3-031-09152-0. Available under: doi: 10.1007/978-3-031-09153-7_5
Zusammenfassung
State-of-the-art Machine Learning systems are able to process and analyze a large amount of data but they still struggle to generalize to out-of-distribution scenarios. To use Judea Pearl’s words, “Data are profoundly dumb" (Pearl&Mackenzie, 2018); possessing a model of the world, a representation through which to frame reality is a necessary requirement in order to discriminate between relevant and irrelevant information and to deal with unknown scenarios. The aim of this paper is to address the crucial challenge of out-of-distribution generalization in automated systems by developing an understanding of how human agents build models to act in a dynamic environment. The steps needed to reach this goal are described by Pearl through the metaphor of the Ladder of Causation. In this paper, I support the relevance of inductive biases in order for an agent to reach the second rung on the Ladder: that of actively interacting with the environment.
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Fachgebiet (DDC)
100 Philosophie
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robustness, agency, causality, counterfactuality, artificial intelligence
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Philosophy and Theory of Artificial Intelligence 2021 : PTAI 2021, 27. Sept. 2021 - 28. Sept. 2021, Gothenburg, Sweden
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MORUZZI, Caterina, 2022. Toward Out-of-Distribution Generalization Through Inductive Biases. Philosophy and Theory of Artificial Intelligence 2021 : PTAI 2021. Gothenburg, Sweden, 27. Sept. 2021 - 28. Sept. 2021. In: MÜLLER, Vincent C., ed.. Philosophy and Theory of Artificial Intelligence 2021. Cham: Springer, 2022, pp. 57-66. Studies in Applied Philosophy, Epistemology and Rational Ethics. 63. ISBN 978-3-031-09152-0. Available under: doi: 10.1007/978-3-031-09153-7_5BibTex
@inproceedings{Moruzzi2022Towar-57918,
year={2022},
doi={10.1007/978-3-031-09153-7_5},
title={Toward Out-of-Distribution Generalization Through Inductive Biases},
number={63},
isbn={978-3-031-09152-0},
publisher={Springer},
address={Cham},
series={Studies in Applied Philosophy, Epistemology and Rational Ethics},
booktitle={Philosophy and Theory of Artificial Intelligence 2021},
pages={57--66},
editor={Müller, Vincent C.},
author={Moruzzi, Caterina}
}RDF
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