United States Archives - Page 3 of 14

P3123

Standard for Artificial Intelligence and Machine Learning (AI/ML) Terminology and Data Formats

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Foundational and terminology Product and performance requirements

The standard defines specific terminology utilized in artificial intelligence and machine learning (AI/ML). The standard provides clear definition for relevant terms in…

Draft

Last Updated: 18 Jul 2024

P7008

Standard for Ethically Driven Nudging for Robotic, Intelligent and Autonomous Systems

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Horizontal AI-specific Human rights Human-centred design

Human-computer interaction Safety Robotics and autonomous systems Foundational and terminology Process, management and governance

“Nudges” as exhibited by robotic, intelligent or autonomous systems are defined as overt or hidden suggestions or manipulations designed to…

Pre-draft

Last Updated: 18 Jul 2024

P3128

Recommended Practice for The Evaluation of Artificial Intelligence (AI) Dialogue System Capabilities

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Horizontal AI-specific Accuracy and performance System quality

NLP - Human-machine conversation Measurement and test methods

This recommended practice establishes an evaluation framework for the capabilities of artificial intelligence dialogue systems such as chatbots, consulting terminals,…

Pre-draft

Last Updated: 18 Jul 2024

P3157

Recommended Practice for Vulnerability Test for Machine Learning Models for Computer Vision Applications

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Horizontal AI-specific Robustness Safety

Security and resilience Computer vision Measurement and test methods

This recommended practice provides a framework for vulnerability tests for machine learning models in the computer vision domain. The document…

Pre-draft

Last Updated: 18 Jul 2024

P2863

Recommended Practice for Organizational Governance of Artificial Intelligence

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Horizontal AI-specific Accountability Bias and discrimination

Explainability and transparency Organisational governance Safety Process, management and governance

This recommended practice specifies governance criteria such as safety, transparency, accountability, responsibility and minimizing bias, and process steps for effective…

Pre-draft

Last Updated: 18 Jul 2024

P2247.4

Recommended Practice for Ethically Aligned Design of Artificial Intelligence (AI) in Adaptive Instructional Systems

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Horizontal AI-specific Human-centred design Interoperability

Process, management and governance

This recommended practice describes ethical considerations and recommended best practices in the design of artificial intelligence as used by adaptive…

Pre-draft

Last Updated: 18 Jul 2024

AI RMF

NIST Artifical Intelligence Risk Management Framework

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Horizontal AI-specific Accountability Bias and discrimination

Explainability and transparency Human-computer interaction Organisational governance Privacy Risk management Robustness Safety Security and resilience Sustainability System lifecycle Process, management and governance

In collaboration with the private and public sectors, NIST has developed a framework to better manage risks to individuals, organizations,…

Published

Last Updated: 18 Jul 2024

SAE CRB 1

Managing the Development of Artificial Intelligence Software

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Horizontal AI-specific System lifecycle Process, management and governance See more

Expert systems are a wave of the information processing future. As time goes on they will become more and more…

Published

Last Updated: 18 Jul 2024

P2247.2

Interoperability Standards For Adaptive Instructional Systems

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Horizontal AI-specific Data sharing Interoperability

Interface and architecture

This standard defines interactions and exchanges among the components of adaptive instructional systems (AISs). This standard defines the data and…

Pre-draft

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

Content Type

Standard for Artificial Intelligence and Machine Learning (AI/ML) Terminology and Data Formats

Standard for Ethically Driven Nudging for Robotic, Intelligent and Autonomous Systems

Recommended Practice for The Evaluation of Artificial Intelligence (AI) Dialogue System Capabilities

Recommended Practice for Vulnerability Test for Machine Learning Models for Computer Vision Applications

Recommended Practice for Organizational Governance of Artificial Intelligence

Recommended Practice for Ethically Aligned Design of Artificial Intelligence (AI) in Adaptive Instructional Systems

NIST Artifical Intelligence Risk Management Framework

Managing the Development of Artificial Intelligence Software

IEEE Standard Model Process for Addressing Ethical Concerns during System Design

IEEE Standard for Transparency of Autonomous Systems

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