References

Every course here is written against a named anchor text — one standard work whose terminology and topic boundaries the course follows — and checked against a secondary witness written independently of it. Where the two disagree, the course follows the anchor and says so at the entry where the disagreement lands. These are the texts for Generative AI at Work.

Anchor

National Institute of Standards and Technology. Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile (NIST AI 600-1). July 2024.

doi.org/10.6028/NIST.AI.600-1

Anchor

National Institute of Standards and Technology. Artificial Intelligence Risk Management Framework (AI RMF 1.0) (NIST AI 100-1). January 2023.

doi.org/10.6028/NIST.AI.100-1

Anchor (prompting units)

DAIR.AI. Prompt Engineering Guide. MIT licence.

github.com/dair-ai/Prompt-Engineering-Guide

Anchor (method)

Carver, J. R. The M-CaReM-AI Method for Safe, Explainable Systems in an AI World. Manuscript.

Secondary witness

Mitchell et al., "Model Cards for Model Reporting" (2019); Gebru et al., "Datasheets for Datasets" (2021); the OECD AI Principles (2019, updated 2024); and the primary studies NIST cites, each checked against its source.

Naming the anchor is not a claim of endorsement by its publisher, and the course is not affiliated with any of the works above. Openly licensed texts carry their licence beside them; the rest are cited, not reproduced.