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Convenience AI

Leonelli, Sabina and Mussgnug, Alexander (2025) Convenience AI. [Preprint]

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Abstract

This paper considers cases where AI is used to automate tasks perceived to be “mere routine” and inconvenient to researchers. We term such uses “Convenience AI” and characterise the set of assumptions involved in making claims of convenience in relation to the role of AI in scientific discovery. While Convenience AI can save resources and give rise to novel forms of inquiry, our analysis underscores how its uncritical adoption bears risks for knowledge production in science, also because it often betrays the very notion of convenience that it is meant to foster. Critically, we show how the consistent association of Convenience AI with the goals of productivity, efficiency, and ease can itself contribute to the epistemic challenges posed by AI.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Leonelli, Sabinas.leonelli@exeter.ac.uk0000-0002-7815-6609
Mussgnug, Alexandera.mussgnug@ed.ac.uk0000-0002-5951-057X
Keywords: Artificial Intelligence, Machine Learning, Convenience, Medicine, Development Economics
Subjects: Specific Sciences > Artificial Intelligence
Specific Sciences > Economics
Specific Sciences > Medicine
General Issues > Technology
Depositing User: Mr Alexander Mussgnug
Date Deposited: 05 Jun 2026 19:06
Last Modified: 05 Jun 2026 19:06
Item ID: 29890
DOI or Unique Handle: https://link.springer.com/article/10.1007/s10670-026-01122-y
Subjects: Specific Sciences > Artificial Intelligence
Specific Sciences > Economics
Specific Sciences > Medicine
General Issues > Technology
Date: 2025
URI: https://philsci-archive.pitt.edu/id/eprint/29890

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