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Just culture

An investigation practice, used across aviation, healthcare, and increasingly industrial safety, that distinguishes honest human error (examined for its system-level causes, not punished) from reckless or willful violation (which carries individual accountability), because treating every error as blameworthy discourages the honest reporting that safety engineering depends on to find gaps before they cause harm.

Defined in 2 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in Engineering Judgment and Professional Formation.

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.

Engineering Judgment and Professional Formation

Sidney Dekker's framework for evaluating a human contribution to a failure by asking whether the system made the correct action clear and achievable, rather than by asking only whether a person's action was, in hindsight, the wrong one; distinguishes genuine negligence from a person who followed a flawed procedure, an ambiguous interface, or incomplete information correctly. In practice, this evaluation happens under real pressure to reach a fast, liability-limiting conclusion, especially after a workplace injury; holding the just culture question honestly, rather than assigning blame quickly to close the matter, is itself part of the engineering judgment this topic builds.

Certified AI Governance Professional (CAIGP)

The principle that honest mistakes made inside a flawed system are learning opportunities rather than punishable offenses, while genuine recklessness or malice is a separate and rare matter. The line is drawn on what the person knew and faced at the time, not on how the result turned out, which is what makes blamelessness workable and guards against outcome bias.

Engineering Judgment and Professional Formation

An investigation practice, used across aviation, healthcare, and increasingly industrial safety, that distinguishes honest human error (examined for its system-level causes, not punished) from reckless or willful violation (which carries individual accountability), because treating every error as blameworthy discourages the honest reporting that safety engineering depends on to find gaps before they cause harm.

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 Just culture 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.

Assures AI systems that can cause physical harm: hazard analysis, safety cases, runtime monitors, and the standards evidence a regulator or a court will ask for.

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.

“robot safety”“functional safety”“safety case”“hazard analysis”“iso 10218”“iso/ts 15066”

Where the frameworks place it: EU AI Act; EU Machinery Regulation; ISO 10218; ISO/TS 15066.

One interview question about it

A collaborative robot's learned policy updates monthly. What evidence do you need before each update reaches the floor, and who signs it?

Asked of candidates for physical ai safety assurance. 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.