Redundancy
An "ends" fate realized by the person leaving the organization. The path with the heaviest obligations (notice, consultation, severance, support) and the honest last resort when attrition is too slow and redeployment is not possible.
Defined in 3 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in AI Governance: Applied Mastery.
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 condition when a robot has more DOFs than the task requires. A redundant robot can achieve the same end-effector pose with multiple configurations. The extra DOFs can be used for secondary objectives such as avoiding joint limits or obstacles.
An "ends" fate realized by the person leaving the organization. The path with the heaviest obligations (notice, consultation, severance, support) and the honest last resort when attrition is too slow and redeployment is not possible.
Deliberate backups so no single point of failure can stop a critical function: a second model, a second vendor, or a human process that can take over.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- The workforce map: which roles in your organization change, which grow, and which end · The Humans: Leading People Through AI Change, AI Governance: Applied Mastery
- 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.