Eye for an AI: More-than-seeing, fauxtomation, and the enactment of uncertain data in digital pathology

Chiara Carboni*, Rik Wehrens, Romke van der Veen, Antoinette de Bont

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)
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Artificial Intelligence (AI) tools are being developed to assist with increasingly complex diagnostic tasks in medicine. This produces epistemic disruption in diagnostic processes, even in the absence of AI itself, through the datafication and digitalization encouraged by the promissory discourses around AI. In this study of the digitization of an academic pathology department, we mobilize Barad’s agential realist framework to examine these epistemic disruptions. Narratives and expectations around AI-assisted diagnostics—which are inextricable from material changes—enact specific types of organizational change, and produce epistemic objects that facilitate to the emergence of some epistemic practices and subjects, but hinder others. Agential realism allows us to simultaneously study epistemic, ethical, and ontological changes enacted through digitization efforts, while keeping a close eye on the attendant organizational changes. Based on ethnographic analysis of pathologists’ changing work processes, we identify three different types of uncertainty produced by digitization: sensorial, intra-active, and fauxtomated uncertainty. Sensorial and intra-active uncertainty stem from the ontological otherness of digital objects, materialized in their affordances, and result in digital slides’ partial illegibility. Fauxtomated uncertainty stems from the quasi-automated digital slide-making, which complicates the question of responsibility for epistemic objects and related knowledge by marginalizing the human.
Original languageEnglish
Pages (from-to)712-737
Number of pages26
JournalSocial Studies of Science
Issue number5
Early online date8 May 2023
Publication statusE-pub ahead of print - 8 May 2023

Bibliographical note

Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This article, and the PhD project of which it is part, was made possible through the financial support of the Medical Delta program Journey from Prototype to Payment, and of the Erasmus School of Health Policy & Management.

Publisher Copyright:
© The Author(s) 2023.


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