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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.21169 |
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| _version_ | 1866909709956546560 |
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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 |