Active PAR

P4213

Standard for Observability of Artificial Intelligence Systems

This standard defines a unified observability framework that helps organizations to instrument, monitor, measure, and validate the operational behavior of Artificial Intelligence (AI) systems with the rigor required for production-grade reliability and safety. The standard defines observability requirements, terminology, telemetry models, and measurement frameworks for AI systems throughout their operational lifecycle. It applies to AI-native systems and hybrid systems that integrate AI capabilities into traditional software, cloud-native, distributed, edge, and cyber-physical environments. To support the development of safe, dependable, and accountable AI systems in critical operational environments, the standard covers • model observability, including accuracy, drift, hallucination rates, safety evaluation metrics, and performance indicators; • inference and serving observability and dependencies, including latency distribution, throughput, token usage, request failures, and service level indicators; • agent and workflow observability, including tool-call tracing, agentic workflow and planning transparency, memory utilization, and multi-agent execution; • data and retrieval-augmented generation observability, including retrieval quality, embedding performance, vector database behavior, and context utilization; and • observability of supporting platforms and infrastructure, including compute accelerators, memory, storage, networking, and orchestration components that directly affect AI system behavior, performance, reliability, or safety. This standard applies to AI systems deployed across cloud, on-premises, edge, and hybrid environments. It does not replace general-purpose software or infrastructure observability standards but specifies the AI-specific telemetry and measurements required from those layers.

Standard Committee
C/AISC - Artificial Intelligence Standards Committee
Status
Active PAR
PAR Approval
2026-09-25

Working Group Details

Society
IEEE Computer Society
Standard Committee
C/AISC - Artificial Intelligence Standards Committee
Working Group
AISO-WG - Artificial Intelligence Systems Observability Working Group
IEEE Program Manager
Christy Bahn
Contact Christy Bahn
Working Group Chair
PRAMOD BN

Other Activities From This Working Group

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