Autonomy
The degree to which a robotic system makes its own decisions without human input. Autonomy is a separate dimension from the three-part robot definition. A fully teleoperated robot (where a human directs all decisions) is still a robot. A fully autonomous robot (where the robot makes all decisions) is also a robot. Autonomy level is a design parameter within a robotic architecture, not a prerequisite for the category.
Defined in 5 GAGE programs, which carry 9 distinct definitions of it. The wording above is taught in Foundations of Robotics and Physical AI.
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 degree to which a robotic system makes its own decisions without human input. Autonomy is a separate dimension from the three-part robot definition. A fully teleoperated robot (where a human directs all decisions) is still a robot. A fully autonomous robot (where the robot makes all decisions) is also a robot. Autonomy level is a design parameter within a robotic architecture, not a prerequisite for the category.
The primary framework's term (p.8) for "the degree to which an agent can decide how to act towards a goal... determined by its instructions and level of human involvement." The second of the two axes defining agent capability, and the direct driver of how wide the accountability gap grows.
The degree to which an AI system operates with some independence from human involvement or control. Some level of autonomy is required under Element 2, but the definition does not require full or complete autonomy. (Recital 12; Art. 3(1))
The capacity to act toward a goal without per-step human direction. In this topic, decomposed into four distinct properties (goal-direction, planning, tool use, acting without per-step approval) rather than treated as a single switch.
The degree of independence and accountability in a role, described by how work is initiated, directed and reviewed. One of three generic attributes defining a level of responsibility.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- AI Agents vs. AI Assistants: Understanding Autonomy · Agentic AI and Workforce Integration, Certified AI Practitioner: Workplace Foundations
- Why Agentic Breaks Generative Governance · Taking the Controls, Certified Agentic AI Governance Professional (CAAGP)
- Why Singapore's Framework in Ohio · The Agent, Deconstructed, Certified Agentic AI Governance Professional (CAAGP)
- Who Decides the Next Step · Capability and Autonomy, Certified Agentic AI Governance Professional (CAAGP)
- The Four Levels of Human Involvement · Capability and Autonomy, Certified Agentic AI Governance Professional (CAAGP)
- Dossier Workshop B: Classification · Capability and Autonomy, Certified Agentic AI Governance Professional (CAAGP)
- Building the Governance, Risk and Compliance team · Governance, Risk and Compliance Leadership and Operating Model Transformation, Certified Enterprise Governance, Risk and Compliance Professional (CEGP)
- Is It an AI System? Article 3 Definition and Guidelines · Act Foundations and Current Timeline, EU AI Act Implementation Expert
- The definition of a robot: sensing, computation, and action in the physical world · What a Robot Actually Is, Foundations of Robotics and Physical AI
Where it shows up at work
A definition is where Autonomy 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.
Governs AI agents that take actions: tool access, least privilege, interruptibility, cascading actions and accountability for what an agent did.
3 lessons on this page teach it as a primary outcome.
Classifies a system by role and risk tier, knows which obligations bind on which date after the Digital Omnibus, and what evidence conformity needs.
One lesson on this page teach it as a primary outcome.
Applies IMDA's Model AI Governance Framework, AI Verify and the PDPA alongside Western frameworks for organizations operating across Asia.
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.
- Chief Information Security Officer, AI security focusneeds it at depth
- VP of AI Governance and Ethicsneeds working knowledge
- AI Security Architectneeds it at depth · 8 open postings this week
- Chief Technology Officer, AI engineering editionneeds working knowledge
- Agentic AI Engineer, orchestration editionneeds working knowledge
- AI Regulatory Counselneeds it at depth · 14 open postings this week
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: IMDA Model AI Governance Framework for Agentic AI; NIST AI RMF; Regulation (EU) 2024/1689; Regulation (EU) 2026/1744.
One interview question about it
An agent can send emails and update records. What may it touch, what needs a human, and how do you prove afterwards what it did?
Asked of candidates for agentic ai controls and authorization boundaries. 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.
- A law degree (JD, LLB or LLM), no AI work yet carries it as a claim to back up: The EU AI Act reads like the statutes you were trained on; the content is new, the method is not.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.