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Information technology — Artificial intelligence — AI system life cycle processes

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Last Updated: 31 Jan 2023

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Information technology — Artificial intelligence — Data life cycle framework

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Last Updated: 31 Jan 2023

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Software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Quality model for AI systems

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Last Updated: 31 Jan 2023

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Information technology — Artificial Intelligence — Assessment of machine learning classification performance

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Last Updated: 31 Jan 2023

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Artificial intelligence (AI) — Assessment of the robustness of neural networks — Part 2: Methodology for the use of formal methods

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Last Updated: 31 Jan 2023

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Information technology — Artificial intelligence — Overview of ethical and societal concerns

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Last Updated: 31 Jan 2023

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Information technology – Artificial intelligence – Process management framework for big data analytics

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Last Updated: 31 Jan 2023

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Information technology – Affective computing user interface (AUI) – Part 1: Model

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Last Updated: 31 Jan 2023

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Information technology – Artificial intelligence – Risk management

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Last Updated: 31 Jan 2023

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Health informatics – Applications of machine learning technologies in imaging and other medical applications

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Last Updated: 31 Jan 2023

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Artificial Intelligence (AI) – Assessment of the robustness of neural networks – Part 1: Overview

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Last Updated: 31 Jan 2023

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Software and systems engineering – Software testing – Part 11: Guidelines on the testing of AI-based systems

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Share your thoughts on this standard with the AI Standards Hub community here.

Last Updated: 31 Jan 2023

Content Type

Information technology — Artificial intelligence — AI system life cycle processes

Information technology — Artificial intelligence — Data life cycle framework

Software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Quality model for AI systems

Information technology — Artificial Intelligence — Assessment of machine learning classification performance

Artificial intelligence (AI) — Assessment of the robustness of neural networks — Part 2: Methodology for the use of formal methods

Information technology — Artificial intelligence — Overview of ethical and societal concerns

Information technology – Artificial intelligence – Process management framework for big data analytics

Information technology – Affective computing user interface (AUI) – Part 1: Model

Information technology – Artificial intelligence – Risk management

Health informatics – Applications of machine learning technologies in imaging and other medical applications

Artificial Intelligence (AI) – Assessment of the robustness of neural networks – Part 1: Overview

Software and systems engineering – Software testing – Part 11: Guidelines on the testing of AI-based systems

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