Stale knowledge / training cutoff
Data & Input IntegrityDescription
The model's knowledge is frozen at its training cutoff, producing confidently outdated answers about rates, regulations, or products.
The assistant quotes a superseded repo rate because its training data predates the latest RBI revision.
Accessibility audits and academic studies consistently show AI-driven interfaces (voice assistants, conversational agents) perform worse for older adults and users with disabilities, and advocacy groups have raised concerns. However, a documented production incident where an AI interface's inaccessibility directly caused quantifiable harm to a vulnerable individual or group has not been publicly confirmed at scale.
No public incident on record — evidence level: Theoretical
Primary mitigations
- RAG grounding to live sources
- cutoff disclosure
- freshness checks
- scheduled re-grounding
- retrieval-first answering.
Detection signals
Date-stamped fact checks; freshness SLA monitoring; outdated-claim sampling.