IEEE 3119-2025
IEEE Standard for the Procurement of Artificial Intelligence and Automated Decision Systems
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About This Item
IEEE 3119-2025 is the IEEE Standard for the Procurement of Artificial Intelligence and Automated Decision Systems, created to guide how organizations specify and acquire these computing solutions. It focuses on the procurement side of AI and automated decision systems, helping buyers define expectations for functionality, oversight, and acceptable behavior. For teams managing technical purchasing decisions, IEEE 3119-2025 can support clearer requirements, more consistent evaluation, and better alignment between system capabilities and operational needs.
What is IEEE 3119-2025?
IEEE 3119-2025 is a procurement-focused standard that addresses how artificial intelligence and automated decision systems should be described, requested, and assessed during acquisition. In the context of computing and processing, it provides a structured basis for comparing vendor offerings and expressing technical expectations in a more precise way. The standard is useful where decision-making functions are partly or fully automated and where procurement teams need a clearer framework for requirements, review, and acceptance.
Where is IEEE 3119-2025 used?
IEEE 3119-2025 is typically used in purchasing workflows for AI-enabled software, decision-support platforms, and automated systems that influence operational or administrative outcomes. It may be applied by procurement, engineering, compliance, and technical evaluation teams when drafting specifications, reviewing proposals, or setting acceptance criteria. The standard is relevant in environments where automated decision systems are being introduced into business processes, public services, or other computing-intensive operations that require careful buyer oversight.
Why is IEEE 3119-2025 important?
IEEE 3119-2025 matters because procurement decisions can shape how safely and consistently AI and automated decision systems perform once deployed. A clear standard helps reduce ambiguity in requirements, supports more defensible evaluation of vendor claims, and improves consistency across purchasing cycles. It can also help organizations manage risk by making oversight, testing expectations, and acceptance criteria more explicit before a system is acquired and integrated into operational use.
- Procurement requirements for AI systems
- Automated decision system evaluation
- Technical acceptance and oversight criteria
- Consistency in vendor comparison
- Risk-aware acquisition planning
- Publication Date: 2025
- Standard Status: Active
- Publisher: IEEE
- Subject: Computing and Processing
- Official IEEE: Doi link
- This Version: 3119 (2025)
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