Overview

In the current educational context where artificial intelligence is reshaping how we learn, write, and do research, Artificial Intelligence in Academia offers a timely and indispensable guide for students, educators, established scholars, and researchers navigating this transformed reality. With clarity, transparency, and intellectual rigour, this book demystifies the role of generative AI tools in academic life, offering feasible and practical strategies, tips, and suggestions for responsible use, avoiding plagiarism, retaining authorship, and preserving scholarly creativity. It does not shy away from tough questions such as: Is using AI a form of cheating? Can machines sharpen our thinking, or do they make us intellectually complacent? Through vivid examples and reflective commentaries, the book invites readers to rethink what academic work means in a world of algorithmic assistance. Rather than presenting AI as a threat or obstacle, the author explains its numerous benefits and advantages, but without losing sight from their inherent limitations and flaws. Moreover, the book also highlights how to extract the best AI can offer to academics, improving their writing, increasing productivity and, more importantly, without crossing ethical boundaries and neither outsourcing their critical thinking skills. Consequently, whether you are a first-year undergraduate student trying to find your academic voice, a PhD candidate, or even an established scholar, this book is your thoughtful companion, bridging innovation with reflection, and always maintaining full control of your writing.

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