Skip to main content

Forgetting curve

The well-documented decay of memory of a one-time exposure over time (associated with Hermann Ebbinghaus). The reason a single session does not install a durable habit and a rollout must include spaced reinforcement.

Defined in 3 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.

Senior AI Scam Defense

The finding, first published by Hermann Ebbinghaus in 1885 and widely replicated in learning science research since, that newly learned information decays rapidly without reinforcement, with the steepest loss occurring in the hours and days immediately after exposure. Used in this topic to explain why a single annual talk produces exposure but not a durable, usable habit.

Certified AI Governance Professional (CAIGP)

The well-documented decay of memory of a one-time exposure over time (associated with Hermann Ebbinghaus). The reason a single session does not install a durable habit and a rollout must include spaced reinforcement.

Certified AI Practitioner: Workplace Foundations

The well-documented decline of retention over time without review, steepest immediately after learning; the decay the reinforcement layer is built to counter (treated in depth in Topic 1.8).

Where it is taught

The exact lessons this term appears in. The first module of every program is free with a free account.

Where it shows up at work

A definition is where Forgetting curve 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 role-based AI training that measures skill, not attendance, with approved-use guidance, office hours and communities of practice.

One lesson on this page teach it as a primary outcome.

Adoption and change managementBusiness and Transformation

Knows why rollouts stall, separates a skills problem from a trust problem, builds champion networks, and measures adoption honestly.

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.

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.

“learning and development”“adult learning”“ai literacy program”“change management”“drive adoption”“organizational change”

Where the frameworks place it: EU AI Act Article 4; DOL AI Literacy Framework.

One interview question about it

Design AI literacy training for a workforce of mixed skill. Who learns what, and how do you know it worked?

Asked of candidates for ai literacy training and enablement 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.

Terms it appears with

Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.