This is your indispensable guide to navigating the rise of generative AI as an academic. It thoughtfully explores rapidly evolving AI capabilities reshaping higher education, examining challenges and ethical dilemmas across the sector.
It provides useful strategies for using generative AI in your scholarly work while upholding professional standards. This practical guidance addresses four core areas of academic work:
• Thinking: How to use generative AI to augment individual and collaborative scholarly thinking that can assist in developing novel ideas and advancing impactful projects
• Collaborating: Explore how generative AI can be used as a research assistant, coordinating teams and enhancing scholarly cooperation
• Communicating: Cautioning against over-reliance, examine how generative AI can relieve communication burdens while maintaining professionalism and etiquette
• Engaging: thoughtful and practical frameworks are offered for using these developments to support online engagement without sacrificing scholarly principles
Dr Mark Carrigan is a digital sociologist, author and Senior Lecturer in Education at the University of Manchester, where he is co-lead of the Digital Education Manchester group.
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"As a PhD student researching the impact of GenAI on university students (while also a new professor), it felt like this book was written for me. Carrigan immediately identified the scariest part of GenAI - its ability to dismantle the trusting relationships between faculty and students. By (at least partially) embracing AI in higher education, Carrigan shows we can simplify our workload to produc
Five-star review from Illysa
"This book offers a very thorough and thoughtful consideration of the use of generative AI, particularly ChatGPT and Claude, in academia. It successfully balances intellectually rigorous debate with practical tips and guidance. It will be especially valuable for those unfamiliar with using these tools, while even more experienced users are likely to pick up some new ideas and benefit from engaging
Dr Emma Craddock
"Carrigan outlines ways for academics to use LLMs in their work - including, but not limited to, their writing. I especially appreciate Carrigan's argument that the way to go is to find ways to think with LLMs rather than using LLMs as a substitute for thought. (...) Among the uses for LLMs Carrigan explores are "rubberducking" (explaining your ideas to an LLM to test and polish your ability to ex
