AI Assurance for Avionics

The rapid integration of Artificial Intelligence (AI) into airborne systems is transforming the development and certification of avionics software. Existing standards, particularly RTCA DO-178C, provide a mature assurance framework for deterministic software but do not explicitly address learning enabled behavior, dataset governance, model uncertainty, explainability, or runtime adaptation. This paper proposes the Artificial Intelligence Assurance Extension Framework (AIAEF), a structured extension of the DO-178C assurance philosophy for AI-enabled avionics systems. The framework introduces AI specific assurance activities covering AI requirements, dataset assurance, model assurance, runtime assurance, and certification evidence management while preserving compatibility with established certification practices. A certification gap analysis identifies limitations of conventional software assurance when applied to machine learning components. An AI Assurance Maturity Model (AAMM) is also introduced to assess certification readiness. A representative AI-assisted Flight Management System case study illustrates the applicability of the proposed approach. The study concludes that future certification should evolve through an extension of existing assurance principles rather than replacing them, enabling trustworthy integration of AI into safety-critical avionics.

• Erscheinungsdatum: 12.08.2026
• Autor/Autorin: Dr. Emrah Ekrem KARABAG
• Format: E-Book
• Dateiformat: EPUB
• Kopierschutz: DRM-frei
• Dateigröße: 13.6 MB
• Verlag: VIA TOLINO MEDIA
• Sprache: Englisch
• ISBN: 9783695680214
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Kompatibel mit EPUB-fähigen E-Readern und Apps.

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