IEEE 2941.1-2022
IEEE Standard for Operator Interfaces of Artificial Intelligence
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- Language: English
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- Language: English
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About This Item
IEEE 2941.1-2022 is a technical standard focused on operator interfaces of artificial intelligence, with attention to how people interact with AI-enabled systems in computing and processing environments. It helps define a clearer basis for interface design, use, and evaluation where human operators need understandable, consistent controls and feedback. For teams working with AI software or AI-supported platforms, IEEE 2941.1-2022 can support more disciplined development and better alignment between system behavior and operator expectations.
What is IEEE 2941.1-2022?
IEEE 2941.1-2022 addresses the operator interface layer of artificial intelligence systems, making it relevant to the way users monitor, guide, and respond to AI functions. In a computing and processing context, this kind of standard typically helps frame interface requirements, terminology, and practical considerations for interaction design. The goal is to support more predictable and usable operator experiences when AI is part of the workflow, especially where decisions, alerts, or controls must be presented clearly.
Where is IEEE 2941.1-2022 used?
IEEE 2941.1-2022 is most relevant in software and system environments where operators work with AI-assisted tools, dashboards, or control panels. That may include enterprise computing platforms, industrial monitoring systems, decision-support applications, and other processing workflows where human oversight remains important. It can also be useful during interface specification, system integration, procurement reviews, and acceptance testing when an organization needs a common reference for operator-facing AI functionality.
Why is IEEE 2941.1-2022 important?
IEEE 2941.1-2022 matters because operator interfaces can strongly affect how reliably AI systems are understood and used in practice. A well-defined standard can improve consistency across designs, support compliance and testing activities, and reduce the risk of confusing or inconsistent interactions. It may also help organizations compare solutions more effectively during procurement, since interface behavior and operator expectations can be evaluated against a clearer technical baseline.
- Operator-facing AI interface guidance
- Computing and processing applications
- Interface consistency and evaluation
- Support for testing and procurement
- Publication Date: 2023
- Standard Status: Active
- Publisher: IEEE
- Subject: Computing and Processing
- Official IEEE: Doi link
- This Version: 2941.1 (2023)
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