Table of Contents
Something Not Entirely Unlike a Flow Chart
Chapter 1: Understanding Generative AI
A Quick Primer on the Limitations of LLMs
Contextualizing the Relative Strengths of LLMs for the Humanities
Resisting the AI Fictions of Science Fiction
Chapter 2: Non-Solutions and Why They Don’t Work Well
Cheating—The Plan, the Myth, the Legend (but Not in That Order)
The Myth of AI Detection (In Fact, There’s No Such Thing)
Handwritten, Closed Book, Blue Book Exams? The Past Is Rarely the Solution to New Problems
Curveball Prompts and Clever Contradictions
Prohibiting and Policing AI Usage Is Not the Answer
Asking ChatGPT for Advice on How to Outsmart It
Assign Watching and Listening Instead of Reading
Chapter 3: The Process Is the Point
Solving the Problems We Already Have
Show Your Work: Creation of Essays Ex Nihilo
Showing What AI Cannot Do Well
Reverse-Engineering LLM Output (or Seeing How the Sausage is Made)
Chapter 5: Getting More Detailed
Prompts for Short Writes about Assigned Reading
Chapter 6: Getting More Creative
Pictures Worth a Thousand Words
Chapter 7: Students Using and Outpacing AI
