Trustworthy AI: UK Air Traffic Control Revisited

Fuente: arXiv
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Hauptverfasser: Procter, Rob, Rouncefield, Mark
Format: Preprint
Veröffentlicht: 2025
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author Procter, Rob
Rouncefield, Mark
author_facet Procter, Rob
Rouncefield, Mark
contents Exploring the socio-technical challenges confronting the adoption of AI in organisational settings is something that has so far been largely absent from the related literature. In particular, research into requirements for trustworthy AI typically overlooks how people deal with the problems of trust in the tools that they use as part of their everyday work practices. This article presents some findings from an ongoing ethnographic study of how current tools are used in air traffic control work and what it reveals about requirements for trustworthy AI in air traffic control and other safety-critical application domains.
format Preprint
id arxiv_https___arxiv_org_abs_2507_21169
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Trustworthy AI: UK Air Traffic Control Revisited
Procter, Rob
Rouncefield, Mark
Computers and Society
Artificial Intelligence
I.2.1
Exploring the socio-technical challenges confronting the adoption of AI in organisational settings is something that has so far been largely absent from the related literature. In particular, research into requirements for trustworthy AI typically overlooks how people deal with the problems of trust in the tools that they use as part of their everyday work practices. This article presents some findings from an ongoing ethnographic study of how current tools are used in air traffic control work and what it reveals about requirements for trustworthy AI in air traffic control and other safety-critical application domains.
title Trustworthy AI: UK Air Traffic Control Revisited
topic Computers and Society
Artificial Intelligence
I.2.1
url https://arxiv.org/abs/2507.21169