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Challenges and Barriers to Integrating AI in Library Environments
Abstract
Modern libraries involving AI present improved productivity, user experiences, and resource management. Responsible AI approaches are crucial because of ethical factors including algorithmic biases and patron data privacy. Organizational barriers provide serious difficulties that necessitate strategic ways for successful implementation. The integration scenario includes budget limits and expenditures related to AI technologies. Adoption of AI is made more complicated by regulatory factors, such as adherence to data protection laws and potential legal ramifications. Through the synthesis of extant research, this article offers a thorough comprehension of these intricate challenges. Technical, ethical, organizational, financial, and regulatory aspects provides insightful information for researchers, politicians, and librarians. In order to promote responsible AI integration in libraries and optimize the advantages of emerging technologies, the evaluation seeks to provide guidance for future strategies, policies, and decision-making procedures.
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