Silent failure
A failure mode in which a program encounters an error condition but continues running, producing no visible crash or error message. Caused most commonly by bare `except: pass` clauses. In robotic systems, silent failures manifest as Tier 2 (no output) symptoms: the node is alive but non-functional.
Defined in 4 GAGE programs, which carry 5 distinct definitions of it. The wording above is taught in Foundations of Robotics and Physical AI.
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.
A failure mode in which a program encounters an error condition but continues running, producing no visible crash or error message. Caused most commonly by bare `except: pass` clauses. In robotic systems, silent failures manifest as Tier 2 (no output) symptoms: the node is alive but non-functional.
A failure in which a system produces a confident but wrong output rather than an error. More dangerous than a visible error because customers often encounter it before the operator does. A key target of the failure-history question and a driver of what production monitoring must watch.
An agent mistake that throws no error and looks normal (a mis-mapped data field, a confident wrong number), surfacing only later; the reason data-entry and reporting agents need scheduled spot-checks, not only a live gate.
A downstream break that produces a plausible but incorrect result with no error thrown, allowing the wrong output to be consumed and trusted for an extended period before anyone notices.
A failure that produces no error signal; the system returns a confident wrong answer with nothing to catch. Most dangerous AI failures are silent, which is why detection must be designed in from outside the model.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- AI Agents for Small Business: Affordable Automation at Scale · Bonus: SMB AI Adoption Path, Certified AI Practitioner: Workplace Foundations
- The schema change that broke the forecaster: blast-radius analysis downstream · Quality as Physics, Certified AI Data Governance Professional (CADGP)
- The license to govern: explaining to a skeptic exactly how your model fails · Build Before You Govern, Certified AI Governance Professional (CAIGP)
- The vendor interrogation: questions that expose what the sales deck hides · Shipping AI and Surviving the Incident, Certified AI Governance Professional (CAIGP)
- Debugging and logging when a robot misbehaves · Programming for Robotics with Python, Foundations of Robotics and Physical AI
Where it shows up at work
A definition is where Silent failure 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.
Tiers vendors by use and impact, requests evidence instead of promises, tests in the customer's context, and plans monitoring and exit.
One lesson on this page teach it as a primary outcome.
Recognizes hallucination, drift, skew, brittleness and biased outcomes, and knows how each one enters a system.
One lesson on this page teach it as a primary outcome.
Explains training, tokens, context windows, embeddings, retrieval and fine-tuning well enough to ask an engineer a precise question and spot weak evidence.
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.
- Model Risk Managerneeds it at depth
- AI Risk Managerneeds working knowledge · 2 open postings this week
- AI Governance Analystneeds working knowledge · 3 open postings this week
- Chief Information Officer, technology leadership editionneeds it at depth
- AI Security Architectneeds it at depth · 8 open postings this week
- AI Evaluation Specialistneeds it at depth · 6 open postings this week
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.
Where the frameworks place it: NIST AI RMF GOVERN 6 and MANAGE 3; ISO/IEC 42001 Annex A supplier controls; NIST AI RMF MEASURE 2; ISO/IEC 42001.
One interview question about it
A business unit wants to buy an AI tool next week. What do you ask the vendor, what evidence do you require, and what would make you say no?
Asked of candidates for ai vendor due diligence and third-party risk. 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.
- Privacy and data protection carries it as a claim to back up: Processor and vendor review is routine privacy work.
- Cybersecurity and IT carries it as a claim to back up: Supplier security assessment is routine.
- Nonprofit program and grants oversight carries it as a claim to back up: Reviewing grant and vendor agreements for data terms is vendor review.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.