Autonomy level
NVIDIA's classification framework for how much independent action an agentic system can take, cited and adopted by the CSA Addendum (pp.18 to 20), ranging from a Level 0 system making straightforward inference calls to a Level 3 system that can dynamically modify its own execution paths. This is a distinct scale from the MGF's four levels of human involvement: autonomy level describes how independently the agent's own workflow can branch, while human involvement describes how much a human reviews before or after it acts, and a deployment's position on one scale does not determine its position on the other. A higher autonomy level generally requires more granular, more frequent monitoring, because more of the agent's behaviour is determined at runtime rather than fixed in advance.
Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in Agentic AI Governance: Applied Mastery.
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.
NVIDIA's classification framework for how much independent action an agentic system can take, cited and adopted by the CSA Addendum (pp.18 to 20), ranging from a Level 0 system making straightforward inference calls to a Level 3 system that can dynamically modify its own execution paths. This is a distinct scale from the MGF's four levels of human involvement: autonomy level describes how independently the agent's own workflow can branch, while human involvement describes how much a human reviews before or after it acts, and a deployment's position on one scale does not determine its position on the other. A higher autonomy level generally requires more granular, more frequent monitoring, because more of the agent's behaviour is determined at runtime rather than fixed in advance.
How much a tool acts without per-action human review, on a spectrum from suggest (AI proposes, human does), to approve (AI drafts, human approves each), to exception (AI acts, human handles flagged cases), to full (AI acts with monitoring only).
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- Using AI Tools: Automation, Chatbots, and Analytics · Practical AI Workflow Design and Prompt Engineering, AI Literacy & Professional Conduct
- Watching an Agent Work · Rollout, Monitoring, and Incident Response, Agentic AI Governance: Applied Mastery
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.