Identifying and managing risks of AI-driven operations: A case study of automatic speech recognition for improving air traffic safety

Identifying and managing risks of AI-driven operations: A case study of automatic speech recognition for improving air traffic safety
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DOI:
10.1016/j.cja.2022.08.020
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发表时间:
2022-08
影响因子:
5.7
通讯作者:
Yi Lin;Min-zhi Ruan;Kunjie Cai;Dan Li;Ziqiang Zeng;Fan Li;Bo Yang
Yi Lin;Min-zhi Ruan;Kunjie Cai;Dan Li;Ziqiang Zeng;Fan Li;Bo Yang
中科院分区:
工程技术2区
文献类型:
--
作者:
Yi Lin;Min-zhi Ruan;Kunjie Cai;Dan Li;Ziqiang Zeng;Fan Li;Bo Yang

文献摘要

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在这项工作中,主要的重点是通过研究代表性案例和评估用户体验,从语音通信的角度识别人工智能(AI)驱动的操作对空中交通安全监控的潜在技术风险。案例研究是为了使用客观度量来评估人工智能驱动的技术和应用,其中获得了几个风险和技术事实,以指导未来的研究。考虑到空中交通管制系统安全关键的特殊性,通过精心设计的匿名问卷和面对面访谈,对用户体验进行了全面的主观评估。在此过程中,确认了从案例研究中获得的潜在风险,并考虑了对人类工作的影响。案例研究和用户体验评估都提供了一致的结果和结论:(A)拟议的解决方案有望通过提前发现潜在风险来提高交通安全和减少工作量;(B)建议加强人工智能驱动的技术和整个图表,以消除可能分散空中交通管制员注意力的情况。最后,讨论了各种策略和方法,以探索它们将所提议的解决方案推进到工业实践的能力。
In this work, the primary focus is to identify potential technical risks of Artificial Intelligence (AI)-driven operations for the safety monitoring of the air traffic from the perspective of speech communication by studying the representative case and evaluating user experience. The case study is performed to evaluate the AI-driven techniques and applications using objective metrics, in which several risks and technical facts are obtained to direct future research. Considering the safety–critical specificities of the air traffic control system, a comprehensive subjective evaluation is conducted to collect user experience by a well-designed anonymous questionnaire and a face-to-face interview. In this procedure, the potential risks obtained from the case study are confirmed, and the impacts on human working are considered. Both the case study and the evaluation of user experience provide compatible results and conclusions: (A) the proposed solution is promising to improve the traffic safety and reduce the workload by detecting potential risks in advance; (B) the AI-driven techniques and whole diagram are suggested to be enhanced to eliminate the possible distraction to the attention of air traffic controllers. Finally, a variety of strategies and approaches are discussed to explore their capability to advance the proposed solution to industrial practices.