Explainable Artificial Intelligence: State of the Art and beyond

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F26%3A00564758" target="_blank" >RIV/60162694:G43__/26:00564758 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11061287" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11061287</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICMT65201.2025.11061287" target="_blank" >10.1109/ICMT65201.2025.11061287</a>

Result language
angličtina
Original language name
Explainable Artificial Intelligence: State of the Art and beyond
Original language description
Explainable Artificial Intelligence (XAI) is critical in military applications where trust, interpretability, and resilience against adversarial threats are paramount. Despite recent advances, existing XAI methodologies often fail to meet military-grade requirements, particularly in real-Time decision-making, cybersecurity, and classified operational environments. This paper conducts a systematic review of state-of-The-Art XAI methods, evaluating their applicability, limitations, and adversarial robustness in military contexts. We analyzed peer-reviewed publications and defense strategy reports to assess the computational trade-offs, security risks, and feasibility of XAI methods in combat decision support, cyber defense, and autonomous warfare. Our findings highlight three key research gaps: (1) the lack of military-specific XAI benchmarks, (2) the need for cryptographically secured explainability mechanisms to counter adversarial manipulation, and (3) the challenge of balancing transparency with operational security (OPSEC). We propose a three-layered XAI framework to address these issues and outline future research priorities for developing secure, adaptive, and real-Time interpretable AI for defense applications.
Czech name
—
Czech description
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Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2025 10th International Conference on Military Technologies, ICMT 2025 - Proceedings
ISBN
979-8-3315-2338-1
ISSN
2996-4466
e-ISSN
2996-4474
Number of pages
7
Pages from-to
—
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
—
Event location
Brno, Czech Republic
Event date
May 27, 2025
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
001545807300030

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