Recoverability
The degree to which a system's state can be restored after an action, distinct from reversibility, which asks whether the action itself can be undone. A deleted database can be recoverable from backup while the deletion, the downtime, and the fact it happened remain irreversible; score the action a human would need to stop, not the eventual patch-up.
Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in Certified AI Governance Professional (CAIGP).
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 system's state can be restored after an action, distinct from reversibility, which asks whether the action itself can be undone. A deleted database can be recoverable from backup while the deletion, the downtime, and the fact it happened remain irreversible; score the action a human would need to stop, not the eventual patch-up.
The degree to which a professional can survive an AI misuse incident with their career intact, scored against five factors: stakes, duty, disclosure/candor, repetition, and harm to others.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- AI Misuse as Career-Limiting Behavior: Reputation Stakes · AI in the Workplace and Team Leadership, Certified AI Practitioner: Workplace Foundations
- The oversight pattern: human-in-the-loop, on-the-loop, and out-of-the-loop, chosen per task with reasons · Agents Under Command, Certified AI Governance Professional (CAIGP)
Where it shows up at work
A definition is where Recoverability 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.
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.
Knows when to trust, verify, escalate or override an AI recommendation, and stays accountable for the decision.
One lesson on this page teach it as a primary outcome.
Designs multi step agent systems: orchestration graphs, tool contracts, memory, interruptibility, and the evaluation of agent behavior before it is allowed to act.
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.
- AI Product Manager, responsible product editionneeds it at depth · 3 open postings this week
- Ethical AI Specialistneeds working knowledge · 5 open postings this week
- VP of AI Governance and Ethicsneeds working knowledge
- Autonomous Systems Governance Lead, robotics and physical AI editionneeds working knowledge
- Responsible AI Leadneeds working knowledge · 7 open postings this week
- AI Auditorneeds working knowledge · 9 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 Article 14; ISO/IEC 42001 Annex A; NIST AI RMF GOVERN; IMDA Model AI Governance Framework for Agentic AI.
One interview question about it
Design the human oversight for an AI system that approves refunds. What does the reviewer see, and what stops rubber-stamping?
Asked of candidates for human oversight 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.
- Operations, claims, customer service and administration carries it as a claim to back up: Deciding when to escalate a case is judgment under uncertainty.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.