Standardisation for AI Archives - Page 4 of 16

We introduce four principles for explainable artiﬁcial intelligence (AI) that comprise fundamental properties for explainable AI systems. We propose that…

Last Updated: 9 Oct 2022

Research and analysis item

Towards a standard for identifying and managing bias in artificial intelligence

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Bias and discrimination Standardisation for AI

Domain:

Horizontal

As individuals and communities interact in and with an environment that is increasingly virtual they are often vulnerable to the…

Last Updated: 9 Oct 2022

Research and analysis item

U.S. leadership in AI: a plan for federal engagement in developing technical standards and related tools

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Standardisation for AI Standardisation for AI (roadmap)

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Horizontal

NIST has released a plan for prioritizing federal agency engagement in the development of standards for artificial intelligence (AI). The…

Last Updated: 20 Jan 2023

Research and analysis item

AI risk management framework

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Topic:

Accountability Assurance and testing Ethical considerations Good practice for development and use Standardisation for AI

Domain:

Horizontal

NIST is developing a framework to better manage risks to individuals, organizations, and society associated with artificial intelligence (AI). The…

Last Updated: 19 Jan 2023

Research and analysis item

CEN-CENELEC focus group report: road map on artificial intelligence (AI)

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Accountability Data Ethical considerations Safety Standardisation for AI Standardisation for AI (roadmap)

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Horizontal

This report is the official Road Map analysis from the CEN-CENELEC Focus Group on AI. It builds on a strong…

Last Updated: 9 Oct 2022

Research and analysis item

Artificial intelligence standardization white paper (2018 edition)

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Standardisation for AI Standardisation for AI (roadmap)

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Horizontal

The following government-issued white paper describes China’s approach to standards-setting for artificial intelligence. Appendices list all of China’s current (as…

Last Updated: 9 Oct 2022

Content Type

AIDA final report on artificial intelligence in a digital age

Ethically aligned design: a vision for prioritizing human well-being with autonomous and intelligent systems

Standardization empowering AI-enabled systems in healthcare – workshop report

Towards auditable AI systems

Trust and artificial intelligence

Psychological foundations of explainability and interpretability in artificial intelligence

Four principles of explainable artificial intelligence

Towards a standard for identifying and managing bias in artificial intelligence

U.S. leadership in AI: a plan for federal engagement in developing technical standards and related tools

AI risk management framework

CEN-CENELEC focus group report: road map on artificial intelligence (AI)

Artificial intelligence standardization white paper (2018 edition)

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