研究空管中人如何信任工具，揭示可信AI在关键系统中的实际需求
Trustworthy AI: UK Air Traffic Control Revisited
- 通过民族志方法观察空管人员日常使用工具的行为
- 发现信任问题源于工作流程与工具设计的脱节
- 适合关注人机协作与安全系统可信性的研究者
探讨人工智能在组织环境中应用所面临的社技术挑战，目前相关文献对此关注不足。特别是，现有对可信AI的需求研究通常忽视了人们在日常工作中如何处理对所用工具的信任问题。本文基于一项正在进行的民族志研究，分析当前空管工具的实际使用情况，揭示了空管及其他高安全性应用场景中对可信AI的要求。
原文摘要 · Abstract (English)
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.
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