Human Factors Requirements for Human-AI Teaming in Aviation
The advent of Artificial Intelligence in the cockpit and the air traffic control centre in the coming decade could mark a step-change improvement in aviation safety, or else could usher in a flush of ‘AI-induced’ accidents. Given that contemporary AI has well-known weaknesses, from data biases and e...
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MDPI AG
2025-04-01
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| Series: | Future Transportation |
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| Online Access: | https://www.mdpi.com/2673-7590/5/2/42 |
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| author | Barry Kirwan |
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| description | The advent of Artificial Intelligence in the cockpit and the air traffic control centre in the coming decade could mark a step-change improvement in aviation safety, or else could usher in a flush of ‘AI-induced’ accidents. Given that contemporary AI has well-known weaknesses, from data biases and edge or corner effects, to outright ‘hallucinations’, in the mid-term AI will almost certainly be partnered with human expertise, its outputs monitored and tempered by human judgement. This is already enshrined in the EU Act on AI, with adherence to principles of human agency and oversight required in safety-critical domains such as aviation. However, such sound policies and principles are unlikely to be enough. Human interactions with current automation in the cockpit or air traffic control tower require extensive requirements, methods, and validations to ensure a robust (accident-free) partnership. Since AI will inevitably push the boundaries of traditional human-automation interaction, there is a need to revisit Human Factors to meet the challenges of future human-AI interaction design. This paper briefly reviews the types of AI and ‘Intelligent Agents’ along with their associated levels of AI autonomy being considered for future aviation applications. It then reviews the evolution of Human Factors to identify the critical areas where Human Factors can aid future human-AI teaming performance and safety, to generate a detailed requirements set organised for Human AI Teaming design. The resultant requirements set comprises eight Human Factors areas, from Human-Centred Design to Organisational Readiness, and 165 detailed requirements, and has been applied to three AI-based Intelligent Agent prototypes (two cockpit, one air traffic control tower). These early applications suggest that the new requirements set is scalable to different design maturity levels and different levels of AI autonomy, and acceptable as an approach to Human-AI Teaming design teams. |
| format | Article |
| id | doaj-art-7ebabbf8b0eb474695131f2ecc2d2583 |
| institution | Kabale University |
| issn | 2673-7590 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Transportation |
| spelling | doaj-art-7ebabbf8b0eb474695131f2ecc2d25832025-08-20T03:27:18ZengMDPI AGFuture Transportation2673-75902025-04-01524210.3390/futuretransp5020042Human Factors Requirements for Human-AI Teaming in AviationBarry Kirwan0EUROCONTROL, EIH, Bois-des Bordes, F-91222 Bretigny sur Orge, FranceThe advent of Artificial Intelligence in the cockpit and the air traffic control centre in the coming decade could mark a step-change improvement in aviation safety, or else could usher in a flush of ‘AI-induced’ accidents. Given that contemporary AI has well-known weaknesses, from data biases and edge or corner effects, to outright ‘hallucinations’, in the mid-term AI will almost certainly be partnered with human expertise, its outputs monitored and tempered by human judgement. This is already enshrined in the EU Act on AI, with adherence to principles of human agency and oversight required in safety-critical domains such as aviation. However, such sound policies and principles are unlikely to be enough. Human interactions with current automation in the cockpit or air traffic control tower require extensive requirements, methods, and validations to ensure a robust (accident-free) partnership. Since AI will inevitably push the boundaries of traditional human-automation interaction, there is a need to revisit Human Factors to meet the challenges of future human-AI interaction design. This paper briefly reviews the types of AI and ‘Intelligent Agents’ along with their associated levels of AI autonomy being considered for future aviation applications. It then reviews the evolution of Human Factors to identify the critical areas where Human Factors can aid future human-AI teaming performance and safety, to generate a detailed requirements set organised for Human AI Teaming design. The resultant requirements set comprises eight Human Factors areas, from Human-Centred Design to Organisational Readiness, and 165 detailed requirements, and has been applied to three AI-based Intelligent Agent prototypes (two cockpit, one air traffic control tower). These early applications suggest that the new requirements set is scalable to different design maturity levels and different levels of AI autonomy, and acceptable as an approach to Human-AI Teaming design teams.https://www.mdpi.com/2673-7590/5/2/42aviationhuman-AI teamingintelligent agentshuman factors requirements |
| spellingShingle | Barry Kirwan Human Factors Requirements for Human-AI Teaming in Aviation Future Transportation aviation human-AI teaming intelligent agents human factors requirements |
| title | Human Factors Requirements for Human-AI Teaming in Aviation |
| title_full | Human Factors Requirements for Human-AI Teaming in Aviation |
| title_fullStr | Human Factors Requirements for Human-AI Teaming in Aviation |
| title_full_unstemmed | Human Factors Requirements for Human-AI Teaming in Aviation |
| title_short | Human Factors Requirements for Human-AI Teaming in Aviation |
| title_sort | human factors requirements for human ai teaming in aviation |
| topic | aviation human-AI teaming intelligent agents human factors requirements |
| url | https://www.mdpi.com/2673-7590/5/2/42 |
| work_keys_str_mv | AT barrykirwan humanfactorsrequirementsforhumanaiteaminginaviation |