Rethinking Technological Readiness in the Era of AI Uncertainty
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Abstract (arXiv)
Artificial intelligence (AI) is poised to revolutionize military combat systems, but ensuring these AI-enabled capabilities are truly mission-ready presents new challenges. We argue that current technology readiness assessments fail to capture critical AI-specific factors, leading to potential risks in deployment. We propose a new AI Readiness Framework to evaluate the maturity and trustworthiness of AI components in military systems. The central thesis is that a tailored framework - analogous to traditional Technology Readiness Levels (TRL) but expanded for AI - can better gauge an AI system's reliability, safety, and suitability for combat use. Using current data evaluation tools and testing practices, we demonstrate the framework's feasibility for near-term implementation. This structured approach provides military decision-makers with clearer insight into whether an AI-enabled system has met the necessary standards of performance, transparency, and human integration to be deployed with confidence, thus advancing the field of defense technology management and risk assessment.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 3 of its 18 references that are in the map. First posted on arXiv 15 Apr 2025.
Builds on
3 of 18 references.
References · 3
- 2016Concrete Problems in AI Safetycited by 1,642
- 2023A Survey of Hallucination in Large Foundation Modelscited by 368
- 2023AI Alignment: A Comprehensive Surveycited by 263
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Citing papers per year: 2026: 1.
1 paper.