The Evolution of AI on the Commercial Flight Deck: Finding Balance between Efficiency and Safety While Maintaining the Integrity of Operator Trust

Mark Miller, Sam Holley, Leila Halawi
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Abstract

As artificial intelligence (AI) seeks to improve modern society, the commercial aviation industry offers a significant opportunity. Although many parts of commercial aviation including maintenance, the ramp, and air traffic control show promise to integrate AI, the highly computerized digital flight deck (DFD) could be challenging. The researchers seek to understand what role AI could provide going forward by assessing AI evolution on the commercial flight deck over the past 50 years. A modified SHELL diagram is used to complete a Human Factors (HF) analysis of the early use for AI on the commercial flight deck through introduction of the Ground Proximity Warning System (GPWS), followed by the Enhanced GPWS (EGPWS) used currently, to demonstrate a form of Trustworthy AI (TAI). The recent Boeing 737 MAX 8 accidents are analyzed using an updated SHELL analysis that illustrates increased computer automation and information on the contemporary DFD. The 737 MAX 8 accidents and the role of the MCAS AI system are scrutinized to reveal the extent to which AI can fail and create distrust among end-users. Both analyses project what must be done to implement and integrate TAI effectively in a contemporary DFD design. The ergonomic evolution of AI on the commercial flight deck illustrates how it has helped achieve industry safety gains. Through gradual integration, the quest for pilot trust has been challenged when attempting to balance efficiency and safety in commercial flight. Preliminary data from a national survey of company pilots indicates that trust in AI is regarded positively in general, although less so when applied to personal involvement. Implications for DFD design incorporating more advanced AI are considered further within the realm of trust and reliability.
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人工智能在商业驾驶舱的演变:在保持操作员信任完整性的同时,寻找效率与安全之间的平衡
随着人工智能(AI)寻求改善现代社会,商用航空业提供了一个重要的机会。尽管商业航空的许多部分,包括维护、停机坪和空中交通管制,都有望整合人工智能,但高度计算机化的数字驾驶舱(DFD)可能具有挑战性。研究人员试图通过评估过去50年人工智能在商业飞行甲板上的演变,了解人工智能在未来可能发挥的作用。通过引入近地预警系统(GPWS),使用修改的SHELL图来完成人工智能在商业飞行甲板上早期使用的人为因素(HF)分析,然后是目前使用的增进型GPWS (EGPWS),以展示一种可信赖的人工智能(TAI)形式。最近的波音737 MAX 8事故分析使用了最新的SHELL分析,说明了计算机自动化程度的提高和当代DFD的信息。737 MAX 8事故和MCAS人工智能系统的作用被仔细审查,以揭示人工智能可能失败的程度,并在最终用户中造成不信任。两者都分析了在当代DFD设计中有效地实现和集成TAI必须做些什么。人工智能在商业飞行甲板上的人体工程学发展说明了它如何帮助实现行业安全收益。通过逐步整合,在试图平衡商业飞行的效率和安全时,对飞行员信任的追求受到了挑战。一项针对公司试点的全国性调查的初步数据表明,人们普遍认为对人工智能的信任是积极的,尽管在个人参与方面则不那么积极。将更先进的人工智能纳入DFD设计的影响在信任和可靠性领域得到进一步考虑。
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