United States Archives - Page 5 of 13

The recommendations on evaluating and improving algorithm reliability for shortening the development cycle of deep learning algorithm and improving the…

Published

Last Updated: 18 Jul 2024

IEEE 7007-2021

IEEE Ontological Standard for Ethically Driven Robotics and Automation Systems

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Horizontal AI-enabling Stakeholder engagement and communication System quality

Robotics and autonomous systems Foundational and terminology

A set of ontologies with different abstraction levels that contain concepts, definitions, axioms, and use cases that assist in the…

Published

Last Updated: 19 Jul 2024

IEEE 3652.1-2020

IEEE Guide for Architectural Framework and Application of Federated Machine Learning

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Horizontal AI-specific Accuracy and performance Data collection

Data management Data processing Data protection Data sharing Privacy Security and resilience System architecture Foundational and terminology Measurement and test methods Process, management and governance Product and performance requirements

New IEEE Standard – Active. Federated machine learning defines a machine learning framework that allows a collective model to be…

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

P2817

Guide for Verification of Autonomous Systems

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Horizontal AI-specific Accuracy and performance Documentation

Risk management Safety System quality Robotics and autonomous systems Measurement and test methods Process, management and governance

This Guide for Verification of Autonomous Systems enables the user to define a customized process for verification of their autonomous…

Pre-draft

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

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

P2805.3

Cloud-Edge Collaboration Protocols for Machine Learning

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Horizontal AI-specific Data processing Data sharing

Interoperability System architecture Interface and architecture

This standard specifies the collaboration protocols of enabling machine learning on the edge computing node with support from industrial clouds.…

Pre-draft

Last Updated: 18 Jul 2024

SAE AIR 6988

Artificial Intelligence in Aeronautical Systems: Statement of Concerns

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Transport and autonomous vehicles - Aerial vehicles AI-specific Safety Process, management and governance See more

This document reviews current aerospace software, hardware, and system development standards used in the certification/approval process of safety-critical airborne and…

Published

Last Updated: 18 Jul 2024

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…

Draft

Last Updated: 18 Jul 2024

Content Type

IEEE Guide for Taxonomy for Intelligent Process Automation Product Features and Functionality

IEEE Recommended Practice for Assessing the Impact of Autonomous and Intelligent Systems on Human Well-Being

IEEE Recommended Practice for Framework and Process for Deep Learning Evaluation

IEEE Ontological Standard for Ethically Driven Robotics and Automation Systems

Guidelines for Developing Trustworthy Artificial Intelligence Systems

Guide for Verification of Autonomous Systems

Guide for an Architectural Framework for Explainable Artificial Intelligence

Definitions and Characteristics of Artificial Intelligence

Artificial Intelligence in Aeronautical Systems: Statement of Concerns

Algorithmic Bias Considerations

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