Alvarado, Ramón (2022) AI as an Epistemic Technology. [Preprint]

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Abstract

In this paper I argue that Artificial intelligence and methods associated with it, such as machine learning, are first and foremost epistemic technologies—technologies which are exclusively and intrinsically designed to enhance our capacities as knowers. If this is so, then our relationship towards them cannot be immediately drawn from our analysis of our relationship to just any other technologies and non-trivial philosophical efforts will be in need to truly grasp the nature of such relationship. As we will see, understanding AI as an epistemic technology will also have significant implications for important debates in the epistemology and ethics of artificial intelligence. Particularly those debates pertaining to explainability, opacity and even epistemic harms related to data science methods.

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Item Type:	Preprint
Creators:	Creators Email ORCID Alvarado, Ramón ralvarad@uoregon.edu 0000-0002-0028-4192
Keywords:	AI, Epistemic, Trust
Subjects:	General Issues > Data Specific Sciences > Artificial Intelligence > AI and Ethics Specific Sciences > Computation/Information Specific Sciences > Computer Science Specific Sciences > Artificial Intelligence > Machine Learning General Issues > Models and Idealization General Issues > Technology
Depositing User:	Dr. Ramón Alvarado
Date Deposited:	06 Oct 2022 13:41
Last Modified:	06 Oct 2022 13:41
Item ID:	21243
Subjects:	General Issues > Data Specific Sciences > Artificial Intelligence > AI and Ethics Specific Sciences > Computation/Information Specific Sciences > Computer Science Specific Sciences > Artificial Intelligence > Machine Learning General Issues > Models and Idealization General Issues > Technology
Date:	27 September 2022
URI:	https://philsci-archive.pitt.edu/id/eprint/21243

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