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Examines AI's effect on library security efficiency, suggesting improved reliability and operational accuracy.
Impact of Artificial Intelligence on Modern Library Security System Pravin Mohan Sapkal Research Scholar, BVDU, Yashwantrao Mohite College of Arts, Science and Commerce, Pune Dr. Suryakant Bhanudas Ghadge Research Guide & Librarian, Bharati Vidyapeeth, Social Science Centre, Pune Abstract The rapid advancement of Artificial Intelligence (AI) has significantly transformed modern library security systems by introducing intelligent, automated, and predictive mechanisms for safeguarding both physical and digital resources. This study examines the impact of AI technologies such as machine learning, biometric authentication, RFID systems, and intelligent surveillance in enhancing library security efficiency and reliability. The research adopts a theoretical-practical approach to analyse how AI shifts security management from reactive to proactive models, enabling real-time monitoring, anomaly detection, and automated decision-making. Findings reveal that AI improves operational accuracy, reduces human error, and strengthens access control; however, challenges such as data privacy concerns, ethical issues, algorithmic bias, and high implementation costs persist. The study also highlights the importance of hybrid security models combining AI systems with human oversight to ensure accountability and trust.
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Sapkal et al. (2026) studied this question.
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