Enhancing Safety in Military Aviation: A Systematic Approach to the Development of AI Certification Standards

This article proposes a systematic methodology for developing a certification standard for AI safety-critical systems in military aviation, combining military and civil airworthiness references. It involves a thorough analysis conducted to identify overlaps, contradictions, and specific needs for AI certification in this field. The methodology includes incremental updates to a foundational certification framework, continuously integrating new references. An illustrative application to an ISO reference demonstrates the process of extracting AI certification requirements, and systematically derived requirements from various ISO references exemplify the methodology’s efficacy. The aim of this approach is to consolidate pertinent information to establish robust certification standards, ensuring comprehensive coverage of relevant criteria.

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Publication Details

Published
2025-03-28
DOI
https://doi.org/10.3390/engproc2025090083
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Safety in Military Aviation: A Systematic Approach to the Development of AI Certification Standards

Xiaojie Ye, Raquel Delgado-Aguilera Jurado, María Zamarreño Suárez, Francisco Pérez Moreno et al.
Occupational Health and Safety Research
article

Enhancing Safety in Military Aviation: A Systematic Approach to the Development of AI Certification Standards

Xiaojie Ye, Raquel Delgado-Aguilera Jurado, María Zamarreño Suárez, Francisco Pérez Moreno, César Gómez Arnaldo, Vicent Ortolá Plaza
article en

Abstract

This article proposes a systematic methodology for developing a certification standard for AI safety-critical systems in military aviation, combining military and civil airworthiness references. It involves a thorough analysis conducted to identify overlaps, contradictions, and specific needs for AI certification in this field. The methodology includes incremental updates to a foundational certification framework, continuously integrating new references. An illustrative application to an ISO reference demonstrates the process of extracting AI certification requirements, and systematically derived requirements from various ISO references exemplify the methodology’s efficacy. The aim of this approach is to consolidate pertinent information to establish robust certification standards, ensuring comprehensive coverage of relevant criteria.

Universidad Politécnica de Madrid (ES)
Openalex Percentile: Top 92%
Occupational Health and Safety Research
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