The word "research" has been debased in AI marketing to mean "a PDF with a gradient cover." Actual research shows its methods, states its limits, and survives someone checking; the AI Faculty publishes in that tradition because one of its founders lives in it professionally, and the standard travels.
What lives in this library
Peer-reviewed foundations. The published academic work underpinning the platform's teaching, notably Dr. Ruhai Wu's research on digital platforms, pricing, review manipulation, and livestream commerce, with links to the journals of record.
Applied studies and white papers. Practitioner research from the platform's own work: deployment findings, market analyses, and framework papers, each stating its data, method, and limitations, because a white paper without a methods section is an advertisement.
Translations. Companion summaries rendering the technical artifacts into operator language, cross-published with the insights blog.
How to use this library
Cite it, challenge it, bring it to your board: everything here is published to be load-bearing. Researchers and institutions interested in collaboration should see academic partnerships; new publications are announced in the newsletter.