Create a flyer for "Generative AI for Academics"

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.

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.