Definition
Learning that changes what an institution is permitted to do, not just what a model predicts. The model retrains and the prediction improves, while the appeal never changes the evidentiary rule and the exception never changes the ontology; that is model learning without institutional learning.
It matters because Ethotechnics cares about the second. The test is political: did the failure alter the evidentiary rule, redistribute authority, change who pays for the burden, or constrain what the institution may do next time? If not, the machine may be learning while the institution remains structurally unchanged. See also exception learning and structural corrigibility.
Scale: Systemic · Phases: Audit, Repair · Measurability: Qualitative · Maturity: Core concept
Adjacent terms
References
- Exception learning · Theory