Companion papers for Learning with AI
Position papers that develop arguments the book summarizes. Each is a standalone paper with its own audience; none is required to use the book.
Each paper is published here as a PDF. Both existing papers will be posted to arXiv before the book is published, and the arXiv version will be the one to cite once it exists.
| Paper | Read | What it argues |
|---|---|---|
| AI and the Next Layer of Human Work | PDF · details | Powerful tools change what skill means rather than eliminating skill. Six historical cases, and what each implies for students, faculty and administrators. Cited in the book as hyman2026next. |
| Teaching AI Responsibly to Principled Skeptics | PDF · details | The case for engaging with AI critically rather than refusing it, written for readers who are not persuaded that AI belongs in a course at all. Cited in the book as hyman2026teaching. |
In preparation
- Designing STEM Textbooks for Readers Who Have AI — expected after the book is published.
Why only PDFs
LaTeX source, bibliographies and internal revision notes were published here until 2026-08-20 and have been withdrawn. The book’s own source is not in this repository either, so keeping the papers’ source here was an inconsistency rather than a policy. Once a paper is on arXiv, arXiv holds the source and is the single citable version; a second copy here would drift from it with nothing watching.
Corrections and questions go through FEEDBACK.md.