Explainability and transparency Archives - Page 2 of 13

This document specifies the requirements and provides guidance for establishing, implementing, maintaining and continually improving an artificial intelligence management system…

Published

Last Updated: 18 Jul 2024

ISO/IEC DIS 12792 ISO/IEC NP 12792

Information technology — Artificial intelligence — Transparency taxonomy of AI systems

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Horizontal AI-specific Explainability and transparency Foundational and terminology

Process, management and governance

This document defines a taxonomy of information elements to assist AI stakeholders with identifying and addressing the needs for transparency…

Draft

Last Updated: 18 Jul 2024

ISO/IEC CD TS 6254

Information technology — Artificial intelligence — Objectives and approaches for explainability of ML models and AI systems

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Horizontal AI-specific Explainability and transparency System lifecycle

Process, management and governance

This document describes approaches and methods that can be used to achieve explainability objectives of stakeholders with regards to ML…

Pre-draft

Last Updated: 18 Jul 2024

ISO/IEC 23894:2023

Information technology – Artificial intelligence – Risk management

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Horizontal AI-specific Accountability Bias and discrimination

Explainability and transparency Organisational governance Privacy Risk management Robustness Safety Security and resilience Sustainability Process, management and governance

This document provides guidance on how organizations that develop, produce, deploy or use products, systems and services that utilize artificial…

Published

Last Updated: 18 Jul 2024

ISO/IEC TR 24028:2020

Information technology – Artificial intelligence – Overview of trustworthiness in artificial intelligence

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Horizontal AI-specific Accountability Accuracy and performance

Bias and discrimination Data quality Explainability and transparency Privacy Risk management Robustness Safety Security and resilience System quality Foundational and terminology Process, management and governance

What is ISO/IEC TR 24028 about? ISO/IEC TR 24028 is an international standard on artificial Intelligence (AI) which includes task…

Published

Last Updated: 18 Jul 2024

IEEE 7005-2021

IEEE Standard for Transparent Employer Data Governance

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Vertical AI-enabling - Data AI-enabling - Information management AI-enabling - IT governance

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

IEEE 7000-2021

IEEE Standard Model Process for Addressing Ethical Concerns during System Design

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Horizontal AI-enabling - Project management AI-enabling - Risk management Accountability

Bias and discrimination Explainability and transparency Privacy Project management Risk management Stakeholder engagement and communication Sustainability Process, management and governance

A set of processes by which organizations can include consideration of ethical values throughout the stages of concept exploration and…

Published

Last Updated: 19 Jul 2024

IEEE 7001-2021

IEEE Standard for Transparency of Autonomous Systems

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Horizontal AI-specific Explainability and transparency Safety

Robotics and autonomous systems Measurement and test methods

New IEEE Standard – Active. Measurable, testable levels of transparency, so that autonomous systems can be objectively assessed, and levels…

Published

Last Updated: 19 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

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

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

Content Type

Natural language description for abstract scenarios for automated driving systems. Specification

Information technology — Criteria for concept systems

Information technology — Artificial intelligence — Transparency taxonomy of AI systems

Information technology — Artificial intelligence — Objectives and approaches for explainability of ML models and AI systems

Information technology – Artificial intelligence – Risk management

Information technology – Artificial intelligence – Overview of trustworthiness in artificial intelligence

IEEE Standard Model Process for Addressing Ethical Concerns during System Design

IEEE Standard for Transparency of Autonomous Systems

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

Guidelines for Developing Trustworthy Artificial Intelligence Systems

Guide for an Architectural Framework for Explainable Artificial Intelligence

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