ISO and IEC releases AI definitions to public

Written by Jeremy Werner

Jeremy is an experienced journalists, skilled communicator, and constant learner with a passion for storytelling and a track record of crafting compelling narratives. He has a diverse background in broadcast journalism, AI, public relations, data science, and social media management.
Posted on 09/18/2023
In News

ISO and IEC releases AI definitions to public

As the United States works on its AI roadmap and the European Union hammers out the final details of the EU AI Act, two global organizations have released AI definitions to the public. The International Organisation for Standardization (ISO) and the International Electrotechnical Commission (IEC) released a PDF on AI concepts and terminology for a broad set of stakeholders around the world.


The definitions, which make up about 16 pages of the 70-page document, covers terms related to AI systems, data, machine learning, neural networks, trustworthiness, natural language process and computer vision. After listing off definitions, the document goes on to discuss different types of AI like general vs. narrow AI, symbolic vs. sub-symbolic AI, and weak vs. strong AI. After discussing the differences, it goes even further into key AI concepts like agents, knowledge representation, autonomy, automation, machine learning, deep learning, data mining, planning


The document provides several visuals when discussing an AI system functional overview, highlighting how data is processed into predictions, recommendations, decisions and actions. When breaking down the AI ecosystem model visually, it shows components like AI systems, machine learning, engineering approaches, data sources, cloud computing and hardware resources. The document draws to a close as it goes over AI fields which include computer vision, natural language processing, data mining and planning. The document ends by transitioning to several examples of applications of AI like automated vehicles, predictive maintenance and fraud detection. While those final two may sound similar, AI fields are concerned with advancing technical capabilities that enable AI systems while application focuses on the practical uses and impacts of deploying those AI systems.


It’s a very eye-opening document for those who may know nothing about AI systems, while a great guide to explaining AI systems to those who have a deep knowledge of the processes. Overall, the document provides one of the most comprehensive overviews of AI concepts, terminology, applications, and life cycle management.

If you have questions about AI and how the rapidly changing legal landscape could affect your company. Reach out to BABL AI, they can answer all your questions and more.

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