Curiously, there are few contributions in the scientific literature on the subject of artificial intelligence (AI) and its impact on aeronautics. However, many communications and reports have been published by aeronautic companies about their applications of AI technologies. This article makes an industry-wide review of AI in aeronautics using a three-step sequential approach: (i) a review of AI and its concepts to define and develop a conceptual map; (ii) a selection of 100 use cases from aeronautics companies that use AI technologies (e.g., Airbus, Boeing, Air France, Safran, EasyJet, Dassault Aviation, Altair); and (iii) an analysis of the use cases using the topics defined in the conceptual map. The main results describe a rising interest in the integration of AI technologies by entities in the aeronautic sector. Moreover, the results from the use cases show that the most recurrent technologies are big data analytics, autonomous intelligent systems, predictive analytics, machine learning, and robotics. Another finding is related to the several benefits that motivate companies to integrate AI technologies into their industrial and operational processes. The most frequent benefits include customer satisfaction, saving time, safety and security, cost reduction, better decision making, solving complex problems, and ensuring optimisation and efficiency. It also appears that the performance of companies is positively impacted by using these AI technologies. Such impacts span all operational departments including marketing, where these technologies help satisfy customer needs; the industrial and operational area, which is provided with quality products; and where productivity and economic performance are optimised for more efficiency.

中文翻译：

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人工智能对航空业的影响：全行业回顾

奇怪的是，科学文献中关于人工智能（AI）及其对航空业影响的贡献很少。然而，航空公司已经发布了许多关于人工智能技术应用的通讯和报告。本文采用三步顺序方法对航空领域的人工智能进行了全行业回顾：(i) 回顾人工智能及其概念，以定义和开发概念图；(ii) 从使用人工智能技术的航空公司（例如空客、波音、法国航空、赛峰集团、易捷航空、达索航空、Altair）中精选的 100 个用例；(iii) 使用概念图中定义的主题对用例进行分析。主要结果表明航空领域实体对人工智能技术整合的兴趣日益浓厚。此外，用例的结果表明，最常见的技术是大数据分析、自主智能系统、预测分析、机器学习和机器人技术。另一个发现与激励公司将人工智能技术集成到其工业和运营流程中的几个好处有关。最常见的好处包括客户满意度、节省时间、安全保障、降低成本、更好的决策、解决复杂问题以及确保优化和效率。使用这些人工智能技术似乎也对公司的业绩产生了积极的影响。这些影响涉及所有运营部门，包括营销部门，这些技术有助于满足客户需求；提供优质产品的工业和经营区域；生产力和经济绩效得到优化以提高效率。