Against epistemic transparency of algorithms

Abstract Epistemic transparency is often proposed as a solution to algorithmic opacity, wherein revealing the inner logic of an algorithm provides reasons or supporting evidence for the justification of its outputs. I argue that transparency is defective in belief formation and thus inadequate as an epistemology of algorithms. Two objections are developed: transparency regress and bootstrapping , both rooted in transparency’s status as a time-sliced, ‘outsourced’ inferentialist epistemology. While weaker forms—such as contextual transparency—are briefly considered, the central argument remains that transparency fails to provide justification and should be abandoned as an epistemology of algorithms.

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Publication Details

Journal
Philosophy of Science
Published
2026-07-06
DOI
https://doi.org/10.1017/psa.2026.10246
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Against epistemic transparency of algorithms

Juan M. Durán
Philosophy of Science
Ethics and Social Impacts of AI
article

Against epistemic transparency of algorithms

Juan M. Durán
article en

Abstract

Abstract Epistemic transparency is often proposed as a solution to algorithmic opacity, wherein revealing the inner logic of an algorithm provides reasons or supporting evidence for the justification of its outputs. I argue that transparency is defective in belief formation and thus inadequate as an epistemology of algorithms. Two objections are developed: transparency regress and bootstrapping , both rooted in transparency’s status as a time-sliced, ‘outsourced’ inferentialist epistemology. While weaker forms—such as contextual transparency—are briefly considered, the central argument remains that transparency fails to provide justification and should be abandoned as an epistemology of algorithms.

Philosophy of Science
Delft University of Technology (NL)
Openalex Percentile: Top 6%
Ethics and Social Impacts of AI
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