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@article{189340,
        author = {Chennumalla srilakshmi},
        title = {Ethical AI in Libraries: Governance, Transparency, and Bias Mitigation in Discovery and Metadata Systems},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {5632-5641},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189340},
        abstract = {The growing incorporation of artificial intelligence (AI) in library discovery services, recommendation services, and metadata mechanisms has fostered the improvement of information search and customized user services. Nevertheless, the integration of AI is already accompanied with some essential ethical issues, especially concerning governance, transparency, and bias reduction measures in AI-based discovery and metadata systems, this paper will synthesize existing scholarly literature, policy reports and professional guidelines. This paper presents a narrative review of the literature based on a qualitative secondary data approach to examine how much the current AI implementations in libraries follow ethical principles of fairness, accountability, explain ability, and privacy as defined in such frameworks as the Ethically Aligned Design by IEEE, the AI Act in the EU, and the AI Principles by the OECD. The review finds the various enduring challenges in the opaque vendor-controlled algorithms, biased training data, and weak institutional governance structures. By systematizing ethical issues and practices, the present study can enhance the understanding of ethical concerns in the adoption of AI in libraries and provide policy and practice-oriented recommendations to promote just, transparent, and trustful AI-enabled library services.},
        keywords = {Ethical Artificial Intelligence, Library Discovery Systems, Algorithmic Bias, AI Governance, Metadata Ethics},
        month = {December},
        }