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Standards Database

Find information on AI-related standards using the search and filtering capabilities below. This database currently covers nearly 300 relevant standards that are being developed or have been published by a range of prominent Standards Development Organisations.

Hover over the filter categories here to learn more about them:

Domain The industry or sector that the standard covers (e.g. Energy).

Type of standard Whether the standard covers terminology, processes, performance requirements or measurement requirements.
Application The type of technology, method or application covered by the standard. (E.g. Natural language processing)

Stage of development If the standards is pre-draft, draft or published.
Scope Whether the standard is focused entirely on AI, or is adjacent to AI.

Issuing body The standards body or organisation that issued the standard.
Topic The theme, principle or area covered by the standard (e.g. bias and discrimination).

Committee The standards committee that developed this standard.
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The aspects of reference architecture, technical characteristics, components, and functional requirements of digital retina systems for real-time analysis and processing of video big data are discussed in this standard. Ā© Copyright 2024 IEEE – All rights reserved.
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Standards Body: IEEE
Last updated: 7 Jan 2025
New IEEE Standard – Active. The requirements for a systems/software engineering process for privacy-oriented considerations regarding products, services, and systems utilizing employee, customer, or other external user’s personal data are defined by this standard. Organizations and projects that are developing…
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Standards Body: IEEE
Last updated: 7 Jan 2025
New IEEE Standard – Active. This standard can be applied to internet-based business scenarios, and can also be served serve as a practical guide to achieve help assess business security risk control through the big data technology. This standard can…
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Standards Body: IEEE
Last updated: 7 Jan 2025
New IEEE Standard – Active. This standard extends IEEE Std 1872-2015, IEEE Standard for Ontologies for Robotics and Automation, to represent additional domain-specific concepts, definitions, and axioms commonly used in Autonomous Robotics (AuR). This standard is general and can be…
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Standards Body: IEEE
Last updated: 7 Jan 2025
This standard applies to road vehicles. Within its Normative portion, it defines a minimum set of reasonable assumptions and foreseeable scenarios that shall be considered in the development of safety-related models that are part of automated driving systems (ADS). Ā©…
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Standards Body: IEEE
Last updated: 7 Jan 2025
The AI development interface, AI model interoperable representation, coding format, and model encapsulated format for efficient AI model inference, storage, distribution, and management are discussed in this standard. Ā© Copyright 2023 IEEE – All rights reserved. _________
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Standards Body: IEEE
Last updated: 7 Jan 2025
A set of application programming interfaces (APIs) that is aimed at breaking down the barriers between different deep learning (DL) inference engines and applications is defined in this standard. The APIs are comprised of functional interfaces including parameter reading, model…
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Standards Body: IEEE
Last updated: 7 Jan 2025
This is an adoption of the Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI)–Technical Specification Neural Network Watermarking as an IEEE Standard. The Neural Network Watermarking (MPAI-NNW) Technical Specification provides standard methods to measure the ability of 1)…
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Standards Body: IEEE
Last updated: 7 Jan 2025
Promoted in this recommended practice are quality management activities for datasets used for artificial intelligence medical devices (AIMD). The document highlights quality objectives for organizations responsible for datasets. The document describes control of records during the lifecycle of datasets, including…
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Standards Body: IEEE
Last updated: 7 Jan 2025
Data has become one of the most important assets in ICT area. Secure multi-party computation plays a very important role in balancing data usage and data protection. It could build trust and security in data collaboration and big data analysis…
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Standards Body: IEEE
Last updated: 7 Jan 2025
Provided in this recommended practice is a comprehensive methodology for technology domain exploration, development of strategy, technology evaluation, implementation, management, operations, program optimization, and successful enterprise scaling for IPA programs while utilizing terminology as established in IEEE Std 2755-2017 and…
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Standards Body: IEEE
Last updated: 7 Jan 2025
The recommendations on evaluating and improving algorithm reliability for shortening the development cycle of deep learning algorithm and improving the quality of software system based on deep learning algorithm are defined in this document. Assessment index system, and corresponding assessment…
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Standards Body: IEEE
Last updated: 7 Jan 2025
New IEEE Standard – Active. The impact of artificial intelligence or autonomous and intelligent systems (A/IS) on humans is measured by this standard. The positive outcome of A/IS on human well-being is the overall intent of this standard. Scientifically valid…
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Standards Body: IEEE
Last updated: 7 Jan 2025
A set of ontologies with different abstraction levels that contain concepts, definitions, axioms, and use cases that assist in the development of ethically driven methodologies for the design of robots and automation systems is established by this standard. It focuses…
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Standards Body: IEEE
Last updated: 7 Jan 2025
Guidance to developers of IEEE Std 1232-conformant applications is provided in this guide. A simple doorbell is used as an example system under test to illustrate how the static model constructs of Artificial Intelligence Exchange and Service Tie to All…
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Standards Body: IEEE
Last updated: 7 Jan 2025