Trustworthy AI: UK Air Traffic Control Revisited

TL;DR

This paper investigates the socio-technical challenges of implementing trustworthy AI in air traffic control, highlighting how trust issues influence the use of AI tools in safety-critical environments.

Contribution

It provides ethnographic insights into current tool usage in air traffic control, emphasizing overlooked trust requirements for trustworthy AI in safety-critical domains.

Findings

Current tools reveal trust-related challenges in air traffic control.

Trust issues significantly impact AI adoption in safety-critical settings.

Ethnographic data highlights specific trust needs for AI in operational contexts.

Abstract

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.