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Disengagement through Algorithms: How Traditional Organizations Aim for Experts' Satisfaction

Year: 2024

Type: conference-paper

Abstract: This study examines the use of algorithmic tools in traditional organizational decision-making processes. Through forty semi-structured interviews with managers, engineers, and (expert) users across six European projects, we suggest that initiators deploy algorithms not to automate actions or replace users, but to disengage themselves from prescriptive decision-making. Consequently, the responsibility to choose, select, and decide falls upon the users; they become engaged. Therefore, algorithm evaluation is oriented towards utility, interpretability, and, more broadly, user satisfaction. Further research is encouraged to analyze the advent of a 'satisfaction regime', from platforms to traditional organizations.

Source: Proceedings of the AAAI/ACM Conference on AI Ethics and Society

DOI: 10.1609/aies.v7i1.31711

Author: Jérémie Poiroux

Institution: The University of Tokyo

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

Open Access status: bronze

Funders: Centre National de la Recherche Scientifique, Japan Society for the Promotion of Science

OpenAlex ID: W4404518460

FWCI: 0.485

Cites:

Cited by: 1

Related to: 10