IEEE P3119/D7, Dec 2024
IEEE Draft Standard for the Procurement of Artificial Intelligence and Automated Decision Systems
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- Language: English
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About This Item
IEEE P3119/D7, Dec 2024 is an IEEE draft standard focused on the procurement of artificial intelligence and automated decision systems. In the computing and processing context, it addresses how buyers can define requirements, evaluate offerings, and manage expectations for systems that make or support decisions. The document matters because procurement choices can shape performance, accountability, and operational risk long before deployment, making clear technical requirements especially important.
What is IEEE P3119/D7, Dec 2024?
IEEE P3119/D7, Dec 2024 is a draft technical document that guides the procurement process for artificial intelligence and automated decision systems. It is intended to help organizations specify what they need from these systems, including functional expectations, control considerations, and review points that support informed purchasing decisions. As a draft standard, it reflects an in-progress framework for aligning procurement practices with the technical and operational realities of AI-enabled computing systems.
Where is IEEE P3119/D7, Dec 2024 used?
This standard is most relevant where organizations acquire software or platforms that use automated decision logic, machine learning, or other AI-supported processing. Typical use cases may include enterprise decision systems, workflow automation tools, analytical engines, and procurement specifications for technology programs that need defined evaluation criteria. IEEE P3119/D7, Dec 2024 can be useful when technical teams, buyers, and compliance stakeholders need a common basis for assessing capabilities, limitations, and contract requirements.
Why is IEEE P3119/D7, Dec 2024 important?
The value of IEEE P3119/D7, Dec 2024 lies in improving consistency and reducing ambiguity during procurement. For AI and automated decision systems, unclear requirements can lead to mismatched expectations, weak oversight, or difficulty validating performance after purchase. This draft standard supports better requirement definition, comparison of candidate solutions, and more structured compliance review. It can also help organizations reduce operational and governance risk when selecting technology for decision-related tasks.
- Procurement requirements for AI systems
- Automated decision system evaluation
- Technical and compliance review points
- Risk and performance consideration
- Publication Date: 2024
- Standard Status: Inactive
- Publisher: IEEE
- Subject: Computing and Processing
- Official IEEE: Doi link
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