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

Year: 2025

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17216958

Author: Kerisnain, Thiben

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7083627162

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