Key AIPGF Foundation terms, acronyms, concepts, and distinctions for final review.
Use this glossary when the AIPGF Foundation language starts to blur. It is not meant to replace the main lessons. It is meant to keep the key distinctions stable while you read or practice.
The AI Project Governance Framework. APMG presents it as a framework for governing AI use in projects and programmes, not as a replacement for the organization’s existing project method.
Using AI in a way that respects rights, values, fairness, accountability, and appropriate oversight. See ethical, efficient, and effective use.
Using AI in a way that improves speed, effort, or resource use. Efficiency alone is not enough if governance, legality, or decision quality is weak.
Using AI in a way that actually improves the project outcome, decision quality, or governance result. Something can be efficient without being effective.
The current capability of the project, programme, or organization to govern AI use reliably through roles, controls, evidence, review, and improvement. See governance structure and maturity.
Adapting governance depth and control strength to the project context, size, complexity, AI-related risk, and organizational capability. See tailoring by context, size, and risk.
The practical norms that shape how people use AI in project work, how concerns are raised, and how governance becomes real rather than purely documented. See core values, behaviours, and adoption resistance.
Applying the right aims, activities, evidence, and deliverables at different stages of project work instead of treating AI governance as a one-time approval event. See life-cycle governance stages and deliverables.
A structured review of the current state of AI governance capability, based on evidence rather than aspiration. See assessing current maturity.
Spend extra time on terms that separate:
If a definition is still fuzzy after reading it here, return to the lesson where that term changes the governance decision. Then use the Cheat Sheet or Practice to check whether you can apply the distinction under pressure.