Measuring Ethical AI Performance in Aerospace: Metrics, Statistical Evidence, and Benchmarks

Artificial intelligence (AI) is increasingly deployed in aerospace applications such as predictive maintenance, autonomous navigation, and digital manufacturing. These applications, while enhancing efficiency and innovation, introduce risks of bias, opacity, and accountability gaps.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-28
DOI
https://doi.org/10.5281/zenodo.17216958
Primary Topic
Demographic Trends and Gender Preferences
Type
article
Field-Weighted Citation Impact
0.00
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article

Measuring Ethical AI Performance in Aerospace: Metrics, Statistical Evidence, and Benchmarks

Zenodo (CERN European Organization for Nuclear Research)
Demographic Trends and Gender Preferences
article

Measuring Ethical AI Performance in Aerospace: Metrics, Statistical Evidence, and Benchmarks

article en

Abstract

Artificial intelligence (AI) is increasingly deployed in aerospace applications such as predictive maintenance, autonomous navigation, and digital manufacturing. These applications, while enhancing efficiency and innovation, introduce risks of bias, opacity, and accountability gaps.

Zenodo (CERN European Organization for Nuclear Research)
American University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 38%
Demographic Trends and Gender Preferences
DOIOpen Access PDFOpenAlex
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Measuring Ethical AI Performance in Aerospace: Metrics, Statistical Evidence, and Benchmarks · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS