Data collection Archives - AI Standards Hub

ITU-T F.749.4

Use cases and requirements for multimedia communication enabled vehicle systems using artificial intelligence

See more details

Data processing Human-computer interaction Interoperability Privacy Security and resilience System architecture Foundational and terminology Interface and architecture Product and performance requirements

This Recommendation specifies use cases and requirements for multimedia communication enabled vehicle systems using artificial intelligence, including overview, use cases,…

Published

Last Updated: 18 Jul 2024

ANSI/CTA 2090

The Use of Artificial Intelligence in Health Care: Trustworthiness

See more details

Healthcare and medicine - Clinical medicine Healthcare and medicine - Medical devices AI-specific Accuracy and performance

Bias and discrimination Data collection Data processing Data protection Data quality Explainability and transparency Human-centred design Human-computer interaction Privacy Safety Security and resilience Stakeholder engagement and communication System quality Process, management and governance Product and performance requirements

Artificial Intelligence (AI) is quickly becoming a pervasive tool in the health care industry. This standard identifies the core requirements…

Published

Last Updated: 18 Jul 2024

ISO/IEC 29155-1:2017 BS ISO/IEC 29155-1:2017

Systems and software engineering. Information technology project performance benchmarking framework. Concepts and definitions

See more details

Horizontal AI-enabling - IT governance AI-enabling - Software Data collection

Data processing Data sharing Project management Foundational and terminology

Published

Last Updated: 18 Jul 2024

ISO/IEC 29155-4:2016 BS ISO/IEC 29155-4:2016

Systems and software engineering. Information technology project performance benchmarking framework. Guidance for data collection and maintenance

See more details

Horizontal AI-enabling - IT governance AI-enabling - Software Data collection

Data management Privacy Process, management and governance Product and performance requirements

Benchmarking is an activity of comparing “objects of interest” to each other or against a benchmark to evaluate characteristic(s). In…

Published

Last Updated: 18 Jul 2024

ISO/IEC 29155-4:2016

Systems and software engineering — Information technology project performance benchmarking framework — Part 4: Guidance for data collection and maintenance

See more details

Horizontal AI-enabling - Data AI-enabling - Information management AI-enabling - Project management

AI-enabling - Software Data collection Data management Data processing Data sharing Project management Process, management and governance Product and performance requirements

ISO/IEC 29155-4:2016 provides general requirements and guidance for collecting and maintaining data of information technology (IT) projects and for delivering…

Published

Last Updated: 18 Jul 2024

ISO/IEC 29155-1:2017

Systems and software engineering — Information technology project performance benchmarking framework — Part 1: Concepts and definitions

See more details

Horizontal AI-enabling - Information management AI-enabling - Project management AI-enabling - Software

Accuracy and performance Data collection Data management Project management Foundational and terminology Process, management and governance

ISO/IEC 29155-1:2017 identifies a framework for information technology (IT) project performance benchmarking (e.g. development or maintenance productivity) and related aspects…

Published

Last Updated: 18 Jul 2024

P2975

Standard for Industrial Artificial Intelligence (AI) Data Attributes

See more details

Horizontal AI-specific Data collection Data management

Data processing Data protection Data quality Data sharing Privacy Foundational and terminology

This standard defines attributes related to industrial Artificial Intelligence (AI) data that facilitates the classification, association, and mapping towards value…

Pre-draft

Last Updated: 18 Jul 2024

ISO/IEC 25012:2008 BS ISO/IEC 25012:2008

Software engineering. Software product quality requirements and evaluation (SQuaRE). Data quality model

See more details

Horizontal AI-enabling - Data AI-enabling - Software Data collection

Data processing Data quality Measurement and test methods

Managing and enhancing the quality of data is important because of: ⎯ the acquisition of data from organizations of which…

Published

Last Updated: 18 Jul 2024

ISO 37166:2022 BS ISO 37166:2022

Smart community infrastructures. Urban data integration framework for smart city planning (SCP)

See more details

Smart cities AI-enabling - Data AI-enabling - Information management Data collection

Data management Data processing Data protection Data quality Data sharing Privacy Security and resilience Process, management and governance

What is ISO 37166 – Smart community infrastructure about? ISO 37166 is an International Standard that focuses on smart community…

Published

Last Updated: 18 Jul 2024

ISO 37170:2022 BS ISO 37170

Smart community infrastructures. Data framework for infrastructure governance based on digital technology in smart cities

See more details

Smart cities AI-enabling - Data AI-enabling - Information management Data collection

Data management Data processing Data protection Data sharing Privacy Project management Process, management and governance

Published

Last Updated: 18 Jul 2024

ETSI GR SAI 002 V 1.1.1

Securing Artificial Intelligence (SAI) – Data Supply Chain Security

See more details

Horizontal AI-specific Data collection Data management

Data processing Data protection Data quality Data sharing Privacy Robustness Safety Security and resilience Process, management and governance

Data is a critical component in the development of AI systems. This includes raw data as well as information and…

Published

Last Updated: 18 Jul 2024

ETSI GR SAI 004 V 1.1.1

Securing Artificial Intelligence (SAI) – Problem Statement

See more details

Horizontal AI-specific Bias and discrimination Data collection

Data processing Data protection Explainability and transparency Privacy Robustness Security and resilience System lifecycle Foundational and terminology

This work item describes the challenges of securing AI-based systems and solutions, including challenges relating to data, algorithms and models…

Published

Last Updated: 18 Jul 2024

Content Type

Use cases and requirements for multimedia communication enabled vehicle systems using artificial intelligence

The Use of Artificial Intelligence in Health Care: Trustworthiness

Systems and software engineering. Information technology project performance benchmarking framework. Guidance for data collection and maintenance

Systems and software engineering — Information technology project performance benchmarking framework — Part 1: Concepts and definitions

Software engineering. Software product quality requirements and evaluation (SQuaRE). Data quality model

Securing Artificial Intelligence (SAI) – Problem Statement

Report abuse

Report submitted

Provide feedback on the site

Feedback submitted

Submit a missing item

Feedback submitted