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Today's research scholars face the problem of how to effectively navigate the transformative impact of Artificial Intelligence (AI) while maintaining ethical integrity and scholarly rigor. AI technologies have permeated every aspect of scholarly inquiry, from information retrieval to research methodologies. As such, scholars grapple with the ethical implications, challenges, and opportunities presented by this technological revolution. Plagiarism, bias, and copyright issues in AI-assisted research threaten to undermine the integrity of academic scholarship. Navigating AI in Academic Libraries: Implications for Academic Research is presented as a groundbreaking solution to the complex challenges posed by AI integration in academia. This comprehensive volume serves as a guide for scholars seeking to navigate the intricacies of AI while upholding ethical standards and scholarly integrity. By addressing critical issues such as plagiarism detection, bias mitigation, and copyright concerns, the book equips scholars with the tools and strategies needed to harness the full potential of AI for academic inquiry. Through interdisciplinary perspectives and evidence-based practices, Navigating AI in Academic Libraries: Implications for Academic Research fosters collaboration and empowers scholars to leverage AI technologies responsibly and effectively. By offering insights into effective instructional strategies and the impact of AI on traditional research methods, the book provides a roadmap for scholars to thrive in an increasingly AI-driven academic landscape. With its holistic approach and practical guidance, this volume emerges as an indispensable resource for scholars navigating the complexities of AI integration and shaping the future of scholarly research.
