Explainability and transparency Archives - Page 3 of 14

IEEE 7005-2021

IEEE Standard for Transparent Employer Data Governance

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Data collection Data management Data processing Data protection Data sharing Documentation Explainability and transparency Organisational governance Privacy Security and resilience Process, management and governance Product and performance requirements

Specific methodologies to help employers in accessing, collecting, storing, utilizing, sharing, and destroying employee data are described in this standard.…

Published

Last Updated: 19 Jul 2024

ANSI/CTA 2096

Guidelines for Developing Trustworthy Artificial Intelligence Systems

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Horizontal AI-specific Accountability Accuracy and performance

Bias and discrimination Data protection Explainability and transparency Human-centred design Privacy Risk management Safety Security and resilience Stakeholder engagement and communication Process, management and governance

This recommended practice will describe things developers of artificial intelligence (AI) systems should consider for their systems to be considered…

Published

Last Updated: 18 Jul 2024

ITU-T L Supplement 42

Guidelines on the environmental efficiency of machine learning processes in supply chain management

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Logistics and supply chain management AI-specific Explainability and transparency Security and resilience

Sustainability Measurement and test methods

This guidance document is intended to support machine learning (ML) researchers and operators to measure and improve the environmental efficiency…

Published

Last Updated: 18 Jul 2024

IEEE 2894

Guide for an Architectural Framework for Explainable Artificial Intelligence

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Horizontal AI-specific Accountability Accuracy and performance

Bias and discrimination Explainability and transparency Privacy Safety System architecture Interface and architecture Process, management and governance

This guide specifies an architectural framework that facilitates the adoption of explainable artificial intelligence (XAI). This guide defines an architectural…

Published

Last Updated: 18 Jul 2024

IEC SRD 63416:2023 ED1

Ethical considerations of Artificial Intelligence (AI) when applied in the Active Assisted Living (AAL) context

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Vertical AI-specific Bias and discrimination Explainability and transparency

Human-centred design Human-computer interaction Privacy Risk management Robustness Process, management and governance

This SRD deals with the ethical implications and moral questions that arise from the development and implementation of Artificial Intelligence…

Published

Last Updated: 18 Jul 2024

CAN/CIOSC 101

Ethical design and use of automated decision systems

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Horizontal AI-specific Accountability Bias and discrimination

Data management Explainability and transparency Human rights Human-centred design Organisational governance Risk management Robustness Safety Security and resillience Sustainability Process, management and governance

This standard specifies helps organizations protect human values and incorporate ethics in their design and use of automated decision systems.…

Published

Last Updated: 18 Jul 2024

ANSI/CTA 2089

Definitions and Characteristics of Artificial Intelligence

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Healthcare and medicine AI-specific Bias and discrimination Data processing

Data protection Explainability and transparency Foundational and terminology

This standard defines terms related to artificial intelligence and associated technologies in health care including assistive intelligence, synthetic data, remote…

Published

Last Updated: 18 Jul 2024

ITU-T Y.3602

Big data – Functional requirements for data provenance

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

Data management Data processing Data quality Data sharing Explainability and transparency Process, management and governance Product and performance requirements

Recommendation ITU‑T Y.3602 describes a model and operations for big data provenance. This Recommendation also provides the functional requirements for…

Published

Last Updated: 18 Jul 2024

DIN SPEC 92001-1

Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 1: Quality Meta Model

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Horizontal AI-specific Accuracy and performance Explainability and transparency

Risk management Robustness Safety System lifecycle System quality Process, management and governance

This DIN SPEC in accordance with the PAS procedure has been drawn up by a DIN SPEC (PAS)-consortium set up…

Published

Last Updated: 18 Jul 2024

Research and analysis item

AI Transparency in Practice

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Topic:

Explainability and transparency Organisational governance

Domain:

Horizontal

This report presents the interdisciplinary research led and conducted by Ramak Molavi Vasse’i (Mozilla’s Insights Team). Jesse McCrosky (Thoughtworks) co-authored…

Last Updated: 17 May 2024

Regulation and official guidance

How to use AI and personal data appropriately and lawfully

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Topic:

Bias and discrimination Explainability and transparency Risk management Safety

Domain:

Horizontal

Increasingly, we are seeing an uptake in applications of artificial intelligence (AI). The use of AI has the potential to…

Organisation: Information Commissioner's Office

Last Updated: 23 Jan 2024

Strategies and roadmaps

Artificial intelligence for Europe

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Topic:

Accountability Ethical considerations Explainability and transparency Human centred design Human rights Safety Security Trustworthy AI

Domain:

Horizontal

Artificial intelligence (AI) is already part of our lives – it is not science fiction. From using a virtual personal…

Organisation: European Commission

Last Updated: 23 Jan 2024

Content Type

Guidelines for Developing Trustworthy Artificial Intelligence Systems

Guidelines on the environmental efficiency of machine learning processes in supply chain management

Guide for an Architectural Framework for Explainable Artificial Intelligence

Ethical considerations of Artificial Intelligence (AI) when applied in the Active Assisted Living (AAL) context

Ethical design and use of automated decision systems

Definitions and Characteristics of Artificial Intelligence

Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 1: Quality Meta Model

AI Transparency in Practice

How to use AI and personal data appropriately and lawfully

Artificial intelligence for Europe

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