OpenTelemetry Proposal Aims to Flag Stale Data Before AI Systems Act on It

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Stale data in AI pipelines — such as RAG indexes or feature stores — can cause confidently wrong outputs while all standard monitoring signals appear healthy. Unlike human dashboards, autonomous agents and RAG systems act on retrieved data without checking timestamps, making invisible failures a serious risk. The core metric proposed is 'Age of Information,' defined as the time elapsed since the most recent update was generated at its source. A developer has drafted a vendor-neutral semantic convention called data.staleness.* built on OpenTelemetry to standardize how this signal is emitted across databases, Kafka topics, feature stores, and vector indexes. The proposal is an independent community project currently under discussion with the OpenTelemetry Semantic Conventions SIG and has not yet reached official status.

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