Artificial intelligence and biometric technologies in defense: algorithms and challenges
Artificial intelligence and biometric technologies in defense: algorithms and challenges

Author(s): Radoslav Chalakov, Andon Andonov, Viara Jekova
Subject(s): Economy, Business Economy / Management, Human Resources in Economy, Business Ethics
Published by: Национално издателство за образование и наука „Аз-буки“
Keywords: Artificial intelligence; biometric data; human resource management; deep neural networks; support vector machines (SVM); identification and verification
Summary/Abstract: Human resource management in defense is crucial for the efficiency, security, and readiness of military organizations. Emerging biometric recognition technologies and their application in defense HR management, facilitated by artificial intelligence (AI), play a pivotal role in advancing biometric identification systems. These systems incorporate technologies such as fingerprint recognition, facial recognition, iris scanning, and voice identification. When combined with AI-driven algorithms, they enhance the accuracy and efficiency of biometric data analysis and processing. This paper examines the mathematical algorithms underpinning the identification process, including support vector machines (SVM), deep neural networks (DNN), and biometric feature extraction methods. Special emphasis is placed on the challenges associated with implementing such technologies in the defense sector, encompassing ethical and legal considerations related to personal data protection.

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