Data quality Archives - AI Standards Hub

1 Scope This document provides guiding principles for members of governing bodies of organizations (which can comprise owners, directors, partners, executive…

Published

Last Updated: 17 Mar 2023

P7003

Algorithmic Bias Considerations

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Horizontal AI-specific Bias and discrimination Data quality

Stakeholder engagement and communication Process, management and governance

This standard describes specific methodologies to help users certify how they worked to address and eliminate issues of negative bias…

Pre-draft

Last Updated: 31 Jan 2023

PAS 1085:2018 from BSI

Manufacturing. Establishing and implementing a security-minded approach. Specification

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Manufacturing AI-enabling - Risk management Data management Data protection

Data quality Data sharing Organisational governance Privacy Procurement Risk management Security and resilience Process, management and governance

This PAS specifies requirements for the security-minded management of manufacturing organizations and the associated value chain utilizing information, digital technologies…

Published

Last Updated: 31 Jan 2023

PAS 186:2020 from BSI

Smart cities. Supplying data products and services for smart communities. Code of practice

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Smart cities AI-enabling - Data Data protection Data quality

Data sharing Procurement Security and resilience Process, management and governance

Smart communities require much more than just technology. Truly smart communities require citizen-centric and data-driven innovation – a new community…

Published

Last Updated: 24 Feb 2023

ISO/TS 8000-60

Data quality – Part 60: Data quality management: Overview

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

Data quality Foundational and terminology Process, management and governance

Published

Last Updated: 31 Jan 2023

ISO/IEC WD 29794-5

Information technology — Biometric sample quality — Part 5: Face image data

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Horizontal AI-specific Data quality Computer vision - Facial recognition

Foundational and terminology Process, management and governance

Draft

Last Updated: 31 Jan 2023

ISO/IEC WD TS 24358

Face-aware capture subsystem specifications

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Horizontal AI-specific Data processing Data quality

System quality Computer vision - Facial recognition Process, management and governance Product and performance requirements

The document will establish requirements and recommendations for face- aware systems, which: capture images automatically and semiautomatically; capture (output) images…

Pre-draft

Last Updated: 31 Jan 2023

ISO 8000-61

Data quality – Part 61: Data quality management: Process reference model

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

Data quality Organisational governance Process, management and governance

This part of ISO 8000 specifies the processes required for data quality management. This specification is used as a reference…

Published

Last Updated: 31 Jan 2023

ISO/DIS 8000-64 BS ISO 8000-64

Data quality. Part 64. Data quality management: Organizational process maturity assessment: Application of the Test Process Improvement method

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

Data quality Organisational governance Measurement and test methods Process, management and governance

Digital data deliver value by enhancing all aspects of organizational performance including: — operational effectiveness and efficiency; — safety; —…

Published

Last Updated: 31 Jan 2023

Content Type

Definition of a success method for labelling data for artificial intelligence training – Application focus: Question-Answering; Text in English

IEEE Recommended Practice for the Quality Management of Datasets for Medical Artificial Intelligence

Data quality – Data quality assessment: Creating data rules

Information technology. Governance of IT. Governance of data – Application of ISO/IEC 38500 to the governance of data

Algorithmic Bias Considerations

Data quality – Part 60: Data quality management: Overview

Information technology — Biometric sample quality — Part 5: Face image data

Face-aware capture subsystem specifications

Data quality – Part 61: Data quality management: Process reference model

Data quality. Part 64. Data quality management: Organizational process maturity assessment: Application of the Test Process Improvement method

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