Decision rights
The specific, documented authority a steward holds to act, most commonly the right to block a dataset or pipeline change from being marked production-ready until it meets a quality or governance standard, distinguished from a mere responsibility to flag or report problems that someone else with power may or may not act on.
Defined in 3 GAGE programs, which carry 7 distinct definitions of it. The wording above is taught in Certified AI Data Governance Professional (CADGP).
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 specific, documented authority a steward holds to act, most commonly the right to block a dataset or pipeline change from being marked production-ready until it meets a quality or governance standard, distinguished from a mere responsibility to flag or report problems that someone else with power may or may not act on.
An explicit specification of who makes and owns each significant decision. In the AI era, captured as a RACI-plus-AI map (Responsible, Accountable, Consulted, Informed, plus what the AI is permitted to do). The absence of a clear decision-rights map is the most common structural cause of failed AI redesigns.
A written statement of who may take a specific decision, who recommends it, what threshold sends it upward, and what record it leaves. The content of the Decision Rights Matrix artifact from Module 02.
The explicit statement of who decides each major transformation decision, mapped so that authority is a fact rather than an assumption.
The guardrail defining who is authorized to approve that an AI system may go live and who owns it afterward. At small scale a named person; at large scale a governance body with a risk-tiered approval path.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- The stewardship recruitment: making the best people want the role · The Humans of Data, Certified AI Data Governance Professional (CADGP)
- The Operating Charter That Protects the Role · Own the AI Transformation Mandate, Certified AI Transformation Professional (CATP)
- Organizational Structure Evolution · Workforce and Talent in the AI Era, Certified AI Transformation Professional (CATP)
- Capstone Phase 2: The Transformation Strategy · Capstone: Your Transformation Blueprint, Certified AI Transformation Professional (CATP)
- Capstone Phase 4: The Blueprint and the Mandate · Capstone: Your Transformation Blueprint, Certified AI Transformation Professional (CATP)
- Security governance, and where the Chief Information Security Officer's accountability ends · Cybersecurity Governance and Operational Resilience, Certified Enterprise Governance, Risk and Compliance Professional (CEGP)
- AI governance machinery · AI Governance, AI Risk, AI Security, and AI Assurance, Certified Enterprise Governance, Risk and Compliance Professional (CEGP)
Where it shows up at work
A definition is where Decision rights 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.
Designs decision rights, committees, intake, approval tiers and escalation so routine uses move and consequential uses get reviewed.
2 lessons on this page teach it as a primary outcome.
Decides where AI should be used, where it should not, and which use cases create measurable value, tied to the organization's priorities.
One lesson on this page teach it as a primary outcome.
Defines who reviews AI outputs, what they check, when they can override, and how to keep review from becoming a rubber stamp.
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 AI Officerneeds it at depth
- VP of AI Governance and Ethicsneeds it at depth
- Autonomous Systems Governance Lead, robotics and physical AI editionneeds it at depth
- Chief Compliance Officer, AI compliance editionneeds it at depth
- AI Governance Managerneeds it at depth
- Responsible AI Leadneeds working knowledge · 7 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: NIST AI RMF GOVERN; ISO/IEC 42001 Clause 5; EU AI Act Article 14; ISO/IEC 42001 Annex A.
One interview question about it
Sketch the governance operating model you would set up for a company deploying its first customer-facing AI. Who decides, who reviews, and who can stop it?
Asked of candidates for ai governance operating model design. 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 business, MBA or technology management degree carries it as a claim to back up: Strategy and opportunity triage are the core of the degree.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.