Pre-registration
The practice of writing down a rollback trigger and its response before launch, while calm and uninvested, so the incident executes a decision already made rather than opening a debate under pressure. It protects users from the team's own predictable motivated reasoning and leaves a defensible record.
Defined in 2 GAGE programs, which carry 3 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 practice of writing down a rollback trigger and its response before launch, while calm and uninvested, so the incident executes a decision already made rather than opening a debate under pressure. It protects users from the team's own predictable motivated reasoning and leaves a defensible record.
The practice of writing down and saving an experiment's hypothesis, variables, control condition, confound plan, sample size, and analysis method before any data is collected, creating a fixed record that prevents unconsciously revising the plan to fit the results afterward.
Publishing a study's benchmark, metrics, and analysis plan before running the final experiment, which rules out selecting the most favorable metric or run only after seeing the results; a positive signal on the statistical-honesty rubric question when present.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Shipping the feature: rollout, monitoring, and the rollback you hope not to use · Shipping AI and Surviving the Incident, Certified AI Governance Professional (CAIGP)
- Running a literature review on a hard problem · Research, Benchmarking, and Staying at the Frontier, Engineering Judgment and Professional Formation
- Designing a clean experiment that proves something · Research, Benchmarking, and Staying at the Frontier, Engineering Judgment and Professional Formation
Where it shows up at work
A definition is where Pre-registration 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.
Plans for a vendor failure, an unsafe model change or a suspended service: rollback, manual fallback, data export and safe decommissioning.
One lesson on this page teach it as a primary outcome.
Designs tests for factuality, robustness, fairness, safety and abuse resistance with rubrics, baselines and thresholds, and says what a score misses.
One lesson on this page teach it as a primary outcome.
Classifies AI incidents by severity, runs containment, preserves evidence, manages notification, and closes the loop with lessons learned.
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 Incident Response Leadneeds it at depth · 1 open posting this week
- Chief Information Security Officer, AI security focusneeds it at depth
- Chief Risk Officer, AI risk editionneeds working knowledge
- AI Product Manager, responsible product editionneeds it at depth · 3 open postings this week
- Chief Technology Officer, AI engineering editionneeds it at depth
- AI Security Architectneeds working knowledge · 8 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: DORA; NIS2; NIST AI RMF MANAGE 4; NIST AI RMF MEASURE 1 and 2.
One interview question about it
Your AI vendor shuts down next month. What was in your continuity and exit plan, and what did you fail to plan for?
Asked of candidates for ai resilience, continuity and exit planning. 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.
- Cybersecurity and IT carries it as a claim to back up: Continuity and recovery planning are part of the job.
- Model risk, credit risk and quantitative analysis carries it as work you can show: Test design and benchmark selection are the craft.
- A computer science or software engineering degree carries it as a claim to back up: Testing is second nature; AI evaluation design is a new shape of 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.