Configuration
The full set of operator-controlled choices that, together with the base model, define the system that actually answers: the system prompt, the context and retrieval sources, the sampling settings, and any customer fine-tune. The configuration is the part of the deployed system your organization is accountable for and must be able to produce on demand.
Defined in 3 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in Certified AI Governance Professional (CAIGP).
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
The full set of operator-controlled choices that, together with the base model, define the system that actually answers: the system prompt, the context and retrieval sources, the sampling settings, and any customer fine-tune. The configuration is the part of the deployed system your organization is accountable for and must be able to produce on demand.
The complete, unambiguous description of a robot's geometric state, given as an ordered list of all joint values (angles in radians for revolute joints, displacements in meters for prismatic joints). Written as a vector q = [q1, q2, ..., qn].
Adjusting AI-powered tool settings to align the AI's optimization targets with the user's actual goals.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- AI in Your Daily Life and Work · AI Fundamentals, Certified AI Practitioner: Workplace Foundations
- Prompts, context, and why the same model gives different companies different answers · Build Before You Govern, Certified AI Governance Professional (CAIGP)
- Degrees of freedom and the idea of configuration space · What a Robot Actually Is, Foundations of Robotics and Physical AI
Where it shows up at work
A definition is where Configuration starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.
Finds every AI system in use, records owner, purpose, data and risk tier, and keeps the record alive as tools change.
One lesson on this page teach it as a primary outcome.
Uses generative AI tools daily, knows what a model can and cannot do, and can say where an output should not be trusted.
One lesson on this page teach it as a primary outcome.
Explains training, tokens, context windows, embeddings, retrieval and fine-tuning well enough to ask an engineer a precise question and spot weak evidence.
One lesson on this page teach it as a primary outcome.
Roles that hire for it
Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.
- AI Governance Analystneeds working knowledge · 3 open postings this week
- AI Governance Coordinatorneeds it at depth
- Governance Analystneeds working knowledge · 6 open postings this week
- AI Governance Managerneeds it at depth
- AI Program Managerneeds working knowledge · 11 open postings this week
- AI Controls Analystneeds working knowledge
How job descriptions say it
Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.
Where the frameworks place it: NIST AI RMF MAP 2; ISO/IEC 42001 Annex A; EU AI Act Article 4; DOL AI Literacy Framework.
One interview question about it
How would you find every AI system in use across an organization, including the ones nobody registered, and keep that inventory current?
Asked of candidates for ai inventory and use-case intake. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.
If you come from another field
Some backgrounds already carry this competency, and the readiness check gives credit for it.
- Recent graduate in law, policy, business or data carries it as a claim to back up: Most graduates already use the tools daily.
- Teachers, trainers and instructional designers carries it as a claim to back up: Most educators are already using AI in preparation.
- Data analysis, stewardship and business intelligence carries it as a claim to back up: SQL and analytical fluency make the technical layer approachable.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.