Definition
Autonomy is the degree to which a system can select and execute actions without case-by-case human direction or approval. It is not a single switch. Planning, tool selection, execution, persistence, spending, publication, and deployment can each have a different level of human control.
An autonomy claim is meaningful only when it names the action and environment. "Fully autonomous" may mean the system drafts a report without interruption, while a person still controls its data access and publication. Duration and blast radius matter too: one unattended action in a sandbox is not equivalent to a week-long production process.
Set autonomy according to evidence and risk. Work that is easy to verify and reverse can tolerate more discretion than work involving sensitive data, money, safety, or irreversible external effects.
Why it is contested
Autonomy is often presented as a binary property even though it depends on the action, authority, environment, duration, and point of human intervention. A system can plan independently, require approval before acting, and remain unable to publish or deploy. Calling the whole system either autonomous or non-autonomous hides those differences. This glossary treats autonomy as a profile of permissions and intervention points rather than a product-wide label.
Distinguish it from nearby terms
Agency is the capacity to pursue a goal through actions. Autonomy describes how independently those actions are selected or executed. Automation can be fully deterministic and still run without a person, so it is not necessarily agentic.
Check your understanding
An agent may autonomously propose code changes, require approval to merge them, and have no production credentials. Calling the entire system either autonomous or non-autonomous loses the useful distinctions.