Using AI Tools to Develop Training Materials for Aviation: Ethical, Technical, and Practical Concerns

Blake Nguyen, Nathan Sonnenfeld, Lindsay Finkelstein, Alex Alonso, Caroline Gomez, Fiona Duruaku, Florian Jentsch
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Abstract

A key potential advantage of modern training technologies relates to the ability to use them to automate aspects of training. Although in the early stages of adoption within the aviation industry, artificial intelligence (AI) tools and methods have many promises for training design, development, delivery, and assessment. We applied the use-case technology-mapping framework (UCTM) to identify and analyze how automation and AI technologies may be used within the flightcrew training design pipeline, integrating perspectives from relevant literature, informal discussions with stakeholders, and workshops with domain experts. Our preliminary findings highlight current/near-future applications of AI methods and tools in the training design pipeline. Here, we discuss ethical/legal, technical, and practical considerations for flightcrew training. We urge practitioners and researchers in the aviation human factors community to engage in this discussion and to conduct empirical research that will allow for a positive use of the technology across applications, including in aviation training. Practical Takeaways/Applications. • We present a wide range of potential use cases of AI in flightcrew training. • We discuss the ethical/legal, technical, and practical implications of automation and AI. • This information may inform future training processes and practices in the aviation domain.
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使用人工智能工具开发航空培训材料:伦理、技术和实践问题
现代培训技术的一个关键的潜在优势是能够使用它们使培训的各个方面自动化。尽管人工智能(AI)工具和方法还处于航空业采用的早期阶段,但它在培训设计、开发、交付和评估方面有许多前景。我们应用用例技术映射框架(UCTM)来识别和分析自动化和人工智能技术如何在机组人员培训设计管道中使用,整合相关文献的观点,与利益相关者的非正式讨论,以及与领域专家的研讨会。我们的初步研究结果强调了人工智能方法和工具在培训设计管道中的当前/近期应用。在这里,我们讨论道德/法律,技术和实际考虑的飞行机组培训。我们敦促航空人为因素领域的从业者和研究人员参与这一讨论,并开展实证研究,以便在包括航空培训在内的各种应用中积极使用该技术。实用外卖/应用程序。•我们提出了人工智能在机组人员培训中的广泛潜在用例。•我们讨论了自动化和人工智能的伦理/法律、技术和实际影响。•这些信息可以为航空领域未来的培训过程和实践提供信息。
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