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NIST AI 100-2 E2023
Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations
This NIST AI report develops a taxonomy of concepts and defines terminology in the field of adversarial machine learning (AML).…
ISO/IEC 25010:2023
BS ISO/IEC 25010:2011
Systems and software engineering. Systems and software quality requirements and evaluation (SQuaRE). Product quality model
This document defines a product quality model, which is applicable to ICT (information and communication technology) products and software products.…
ISO/IEC AWI 25029
Artificial intelligence — AI-enhanced nudging
This standard applies to nudging mechanisms enhanced by AI systems. This document provides definitions, concepts, and guidelines to address AI-enhanced…
prEN ISO/IEC 24970
Artificial intelligence — AI system logging
This document describes common capabilities, requirements and a supporting information model for logging of events in AI systems. This document…
DSF/ISO/DIS 19178-1
Geographic information – Training data markup language for artificial intelligence – Part 1: Conceptual model standard
Training data is the building block of machine learning models. These models now constitute the majorityof machine learning applications in…
A good understanding of a data set is a prerequisite for its correct evaluation, e. g. in the context of…
ISO/IEC AWI TR 25523
Information technology — Artificial intelligence — Overview of data profiles for analytics and ML
ISO/IEC AWI TR 42103
Information technology — Artificial intelligence — Overview of synthetic data in the context of AI systems
This document provides an overview of synthetic data concepts, methods, uses and considerations in the context of AI systems. ©…
ISO/DIS 19178-1
ISO 19178-1 Geographic information
Training data markup language for artificial intelligence. Part 1. Conceptual model standard
JT021036
Artificial Intelligence – Concepts, measures and requirements for managing bias in AI systems
This document defines concepts, measures and requirements for assessment and treatment of bias in AI systems. This includes bias unwanted…
ISO/IEC CD TR 5259-6
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 6: Visualization framework for data quality
Recommendation ITU-T Y.3607 describes a functional architecture for big data provenance (BDP). To provide the functional architecture for big data…
