End-user responsibility (Dimension 4)
The framework's fourth dimension, "Enable end-user responsibility" (MGF v1.5, section 2.4, p.46). Holds that human accountability extends beyond the deploying organisation to the users who rely on an agent, and that organisations must provide sufficient information for those users to trust and responsibly use the system.
Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in Certified Agentic AI Governance Professional (CAAGP).
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 framework's fourth dimension, "Enable end-user responsibility" (MGF v1.5, section 2.4, p.46). Holds that human accountability extends beyond the deploying organisation to the users who rely on an agent, and that organisations must provide sufficient information for those users to trust and responsibly use the system.
The Agentic MGF's requirement that organizations train employees to manage human-agent interaction while preserving manual tradecraft; the dimension of agent governance that belongs to the individual worker, not just the organization.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Working Inside an Agent Policy · Agentic AI and Workforce Integration, Certified AI Practitioner: Workplace Foundations
- Telling Users the Truth · End-User Responsibility, Certified Agentic AI Governance Professional (CAAGP)
Where it shows up at work
A definition is where End-user responsibility (Dimension 4) 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.
Decides what a person affected by an AI decision must be told, how an output can be explained, and how they can challenge it.
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.
- Responsible AI Leadneeds it at depth · 7 open postings this week
- Chief Privacy Officer, AI privacy editionneeds working knowledge
- AI Regulatory Counselneeds working knowledge · 14 open postings this week
- AI Compliance Managerneeds working knowledge · 2 open postings this week
- AI Model Validatorneeds working knowledge
- AI Product Manager, responsible product editionneeds working knowledge · 3 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: EU AI Act Articles 13 and 50; NIST AI RMF trustworthiness characteristics; IMDA Model AI Governance Framework; PDPA.
One interview question about it
A customer asks why the model decided against them. What can you explain, what can you not, and how can they contest it?
Asked of candidates for explainability, transparency and contestability. 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.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.