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IEC releases two new standards for artificial intelligence
Date: 2022-07-14    Source:IEC   

Two new foundational standards for artificial intelligence will provide important building blocks for digital transformation. ISO/IEC 22989 covers AI concepts and terminology, and ISO/IEC 23053 provides a framework for describing a generic AI framework using machine learning (ML) technology.

ISO/IEC 22989 establishes terminology and describes concepts related to AI systems, which covers a wide range of technologies. The use of different terminology to describe the same concepts, processes, or technologies, or the use of the same terminology to describe different concepts, processes, or technologies, for example, can be a major barrier to responsible adoption, broad adoption, collaboration, regulation, and information sharing.

The new publication contains over 100 commonly used terms in AI such as transparency, explainability, controllability, bias, dataset, test data, validation data, and trained model. It is designed to improve the effectiveness of information exchange by helping standardization experts to draft standards that are consistent in terms of terminology.

In addition, this new publication provides key concepts, such as AI system lifecycle, AI stakeholder roles and AI functional overview, which can be used as the basis for experts developing interoperable and coherent applications, systems, standards, and/or usage guidelines for the application of AI.

Framework for AI systems using ML

The ML framework in ISO/IEC 23053 explains the system components and their functions in the AI ecosystem. ML is a type of AI that employs computational techniques to enable a device to learn from data and experiences to improve its performance of a specific task or to make more accurate predictions about outcomes.

The standard is applicable to all types and sizes of organizations, including public and private companies, government entities, and not-for-profit organizations, that are implementing or using AI systems. In conjunction with ISO/IEC 22989, ISO/IEC 23053 establishes common terminology and a common set of concepts for ML systems. In this way, it provides a basis for a clear explanation of the systems and various considerations that apply to their engineering and to their use.

SC 42 - a forum for innovation

ISO/IEC 23053 and ISO/IEC 22989 are the work of the IEC and ISO joint technical committee (SC 42) that develops international standards for AI. Its unique holistic approach considers the entire AI ecosystem, by looking at technology capability and non-technical requirements, such as business and regulatory and policy requirements, application domain needs, as well as ethical and societal concerns.

(Source: IEC)

 
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