HORIZON-CL5-2021-D6-01 - 101068977 SafeTeam

SafeTeam项目的目标是在航空数字助理的人为因素方面取得进展，包括更深入地了解技术和流程，从而促进人工智能工具的采用和集成到运营中，提高人类的认知能力和潜在的自动化。SafeTeam并不单纯关注航空人工智能应用的技术发展，而是专注于集成这些数字辅助/人工智能工具的方面和特征，以确保与人类操作员进行有效和安全的互动。机器学习算法和人工智能解决方案的效率/准确性当然与研究相关，但SafeTeam的核心目标是从人为因素和安全的角度促进向数字助理的过渡，并最终促进人工智能运营。该项目还将研究审批和认证问题，具体涉及与人类操作复杂人工智能工具的能力和人工智能操作的可解释性相关的方面。该项目的主要目标是开发新的人机交互概念，这将伴随着达到TRL6所需的重要技术挑战，展示在相关环境中将人类操作员置于研究核心的几个具体用例。特别是，利用过去在数据基础设施上所做的工作，SafeTeam项目将提供与用例集成的相关环境，以便能够演示不同的ML算法以及与增强意识或自动化案例研究的人类交互。

The goal of the project SafeTeam is to progress on the human factors aspects on the use of digital assistants to aviation, including a deeper understanding on the technology and processes that will facilitate the adoption of AI tools and integration into operations, enhancing human cognitive abilities and potentially automation. SafeTeam is not purely concerned with the technical development of AI applications for aviation but rather focuses on those aspects and characteristics of integrating such digital assistance / AI tools that will ensure efficient and safe interaction with human operators. The efficiency / accuracy of the ML algorithms and AI solutions is of course of relevance to the research, but the core objective of SafeTeam is to facilitate the transition to digital assistants and ultimately AI-run operations from a Human Factors and safety perspective. The project will also look into approval and certification issues, concretely on aspects related to the human ability to operate sophisticated AI tools and explainability of AI operations. The project main goal of developing new humanmachine interaction concepts will run along important technical challenges required to reach TRL6, demonstrating several concrete use cases in relevant environments placen human operators at the core or the research. Particularly, leveraging the past work done on data infrastructures, the SafeTeam project will provide relevant environments integrated with the use cases, to be able to demonstrate the different ML algorithms and the human interactions with the enhancing awareness or automation case studies presented.