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

Mark Carrigan is a digital sociologist, author and Lecturer in Education at the University of Manchester.

***Unlock exclusive, time-limited access to our custom GPT, designed to deepen your engagement, when you purchase a copy of the book***

"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 explain them, just as you might talk your ideas out to a friend, or your cat, or a rubber duck); If you’re currently anti-LLM, challenge yourself by reading Carrigan." - https://bit.ly/40XWAlI

"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 produce better quality work and enhance our means of thinking and engaging. This thought-provoking work increased my optimism about our future with GenAI. Highly recommended for all educators!" - Amazon customer review at https://bit.ly/42PhUMT