The AI syllabus comes from a place of inquiry, curiosity, and pleasure in reading and exploring and should not be considered an exhaustive resource list on the subject. We have organized it by topics that feel relevant to the current local discourse at our college and in higher education and included multimedia resources as well as suggestions for teaching practices and project ideas that can be used with students.
With the exception of the films and some books, all sources are available open access. We have also sought to include a blend of practical sources that provide explanation and/or look at direct application of AI technologies as well as philosophical sources that explore themes related to/inspired by AI technologies and in the document, attempt to tag each source accordingly.
This is a working, living document that is updated as appropriate.
In creating the AI Syllabus and this accompanying guide, we hope to …
Organize a set of AI articles, videos, podcasts, and other media by topic
Prioritize open access texts (direct to open or free/limited access)
Show an expansive look (longer history/approach to machine learning)
Capture the “multiverse” of the conversation - Practical, philosophical, theoretical, critical, educational, and creative (work against reduction)
Provide short summaries or descriptions of the piece
Provide pedagogical strategies and project ideas
Acknowledge this as a living - changing - working document
We are motivated by the work of other scholars who inspired the organization of this document and express gratitude to them for their scholarship and labor. They include: