Authors: Ahmed Sayed M. Metwally 1, *, Yazeed Alhumaidan 2, Saad Alzahrani 2, Mohamed H. Abdelati 3
Affiliations:
1Department of Mathematics, College of Sciences, King Saud University, Riyadh 11451, Saudi Arabia
2Department of Information Science, College of Humanities and Social Sciences, King Saud University, Riyadh 11451, Saudi Arabia
3Automotive and Tractor Engineering Department, Minia University, Minia, Egypt
Implementing artificial intelligence (AI) and blockchain technology in management systems transforms traditional libraries into advanced information centers that are data-driven and effectively managed. While these technologies enhance efficiency and operational capabilities, they also present two critical challenges: data privacy and ethical concerns. This study examines the role of AI and blockchain in library management, focusing on issues related to data privacy and ethical challenges that arise from their use. It also offers best practices to ensure safe implementation. The research adopts a comprehensive mixed-methods approach, involving qualitative interviews and quantitative surveys to identify these challenges within the system architecture, assess the effectiveness of current designs, and propose a complete framework using privacy-preserving technologies. This framework incorporates innovative cryptographic techniques, including homomorphic encryption, differential privacy, and zero-knowledge proofs, providing a novel model for the ethical use of AI in libraries. The findings indicate that robust data protection, transparency, and accountability are essential to building trust in AI-powered library services.
Library management, Data privacy, Ethical challenges, AI implementation, Blockchain technology
https://doi.org/10.21833/ijaas.2025.05.010
Metwally, A. S. M., Alhumaidan, Y., Alzahrani, S., & Abdelati, M. H. (2025). Advanced frameworks for data privacy and ethical considerations in AI-powered library management. International Journal of Advanced and Applied Sciences, 12(5), 97–108. https://doi.org/10.21833/ijaas.2025.05.010