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The rapid advancement of artificial intelligence (AI) is reshaping the landscape of academic research, transforming how knowledge is created, interpreted, and shared across disciplines. Responsible AI in Academic Research: Ethics, Innovation, and Future-Ready Scholarship is written at a pivotal moment when technological progress must be thoughtfully aligned with the core values of scholarship-integrity, transparency, and accountability. While AI offers remarkable opportunities to enhance research efficiency, creativity, and global collaboration, it also introduces significant ethical concerns, including issues of bias, authorship, data privacy, and the trustworthiness of automated outputs. This book offers a critical yet constructive exploration of these challenges, combining theoretical insights, empirical evidence, and practical guidance for the responsible integration of AI in research. Drawing on interdisciplinary perspectives, it examines how researchers, educators, and institutions can effectively leverage AI while preserving academic integrity and social responsibility.
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