AI Governance Engineer

Body of Knowledge · v0.2

The Body of Knowledge

Why this book exists, who it is for, and how to use it.

11 chapters, from the definition to the reading list. Read them in order or jump to the layer you are building.

  1. 00 4 min Preface Why this book exists, who it is for, and how to use it.
  2. 01 11 min Definition AI governance engineering is the application of engineering practice — systems thinking, product thinking and code — to the governance of AI systems.
  3. 02 15 min Why Now AI governance engineering is forming now because the thing being governed changed shape, the market renamed the role before the profession named itself…
  4. 03 14 min Values & Principles The eight values and six principles of the manifesto, each expanded with what it means in practice and the anti-pattern it rejects.
  5. 04 27 min The Stack The reference architecture of AI governance engineering: five layers that answer the three questions, where evidence is produced at the bottom…
  6. 05 34 min Patterns A catalogue of reusable AI governance engineering patterns, each named to a layer of the stack, in the CSIRO Responsible AI Pattern Catalogue structure.
  7. 06 14 min The Role The AI governance engineer as a concrete role: a capability first and a job title second, defined by the workflows it owns and the evidence it produces…
  8. 07 11 min Maturity Model A ladder from paper to production — Documented, Inventoried, Tested, Enforced, Continuous — where each level is proven by what the running systems show…
  9. 08 18 min Regulatory Map The reverse index of every "Maps to" line in the book: for each obligation it names the engineering artefact that satisfies or supports it…
  10. 09 11 min Glossary The canonical definitions for the book: every term defined once, alphabetically, and cross-referenced to the chapter that treats it in full.
  11. 10 5 min Reading List The sources that formed the discipline, curated and annotated — each with a verified URL and a one-line note on why it matters.