Error budget
The amount of failure an SLO permits (the inverse of the target). It functions as permission to ship while healthy and a rule to stop and fix when exhausted, ending the features-versus-reliability argument.
Defined in 3 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in Business AI Transformation.
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.
An explicit, pre-agreed tolerance for a measurable, typically low-severity risk signal (such as a guardrail near-miss trigger rate) over a given period. Staying within the budget earns a team latitude to move at normal pace; crossing it triggers automatic, pre-agreed tightening of review and deployment pace, replacing an implicit, personal argument about risk tolerance with an explicit, shared, evidence-based one.
A design-time accounting of the expected error contribution from each component or stage in a system. Components are compared to identify the largest contributor and to verify that the total meets the application's accuracy requirement.
The amount of failure an SLO permits (the inverse of the target). It functions as permission to ship while healthy and a rule to stop and fix when exhausted, ending the features-versus-reliability argument.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- AI System Reliability and Safety Engineering · Risk, Resilience and Frontier AI, Business AI Transformation
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.