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In-Person IEEE CertifAIEd™ Assessor Training—Switzerland, 19-22 May

Learn how to assess AIS for their ethical transparency, accountability, privacy, and algorithmic bias. Take the next step toward becoming recognized as an IEEE CertifAIEd Authorized Assessor.

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Contributing to the Solution on Earth Day

From the water and energy nexus to maritime industries, agriculture to mobility, read about our commitment to tackling crucial sustainability challenges confronting the global community.

Discover Our Contribution to the Solution on Earth Day

2025 NESC® Workshop—Las Vegas, 22-23 October

Register your interest as an attendee, sponsor, or exhibiter at the year’s ultimate event for utilities, suppliers, regulators, and tool providers of the North American Electrical Grid.

I’m Interested in the 2025 NESC® Workshop

A New Smart Format for Standards

Select IEEE SA standards are now available in this interactive format, offering a flipbook experience, improved navigation, notes capability, and bookmark functionality.

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Recent Standards

IEEE 3110-2025

IEEE Standard for Computer Vision (CV)--Technical Requirements for Algorithms Application Programming Interfaces (APIs) of Deep Learning Framework

Functional and technical requirements for the interfaces between algorithms and learning frameworks (including the interfaces provided by training frameworks), and between algorithms and data sets in the development of artificial intelligence (AI) computer vision algorithms are specified in this standard. The adaptation and invocation of the application programming interfaces (API)…

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IEEE 3328-2025

IEEE Recommended Practice for the Use of Wheeled Robots for Substation Inspection

An application of wheeled robots for substation inspection and live detection is provided by this recommended practice. A system composition, application scenarios, functional and performance requirements, methods for inspection and detection operations, calibration and acceptance, and maintenance and repair requirements are provided. This recommended practice is applicable to wheeled robots…

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IEEE 3198-2025

IEEE Standard for Evaluation Method of Machine Learning Fairness

A method for evaluating the fairness of machine learning is specified in this standard. Multiple causes contribute to the unfairness of machine learning. These causes of machine learning unfairness are categorized. The widely recognized and used definitions of machine learning fairness are presented. Various metrics corresponding to the definitions, and…

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