Trustworthy AI: UK Air Traffic Control Revisited
It tackles the problem of understanding trust in AI for safety-critical applications like air traffic control, but it is incremental as it builds on existing work by focusing on ethnographic insights.
The paper addresses the lack of research on socio-technical challenges in AI adoption, particularly how people handle trust issues in their daily work, by presenting findings from an ethnographic study of air traffic control tools to reveal requirements for trustworthy AI in safety-critical domains.
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.