Explainability and transparency Archives

This standard establishes a practical, technical baseline of specific methodologies and tools for the development, implementation, and use of effective…

Published

Last Updated: 18 Jul 2024

ETSI GR SAI 004 V 1.1.1

Securing Artificial Intelligence (SAI) – Problem Statement

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Horizontal AI-specific Bias and discrimination Data collection

Data processing Data protection Explainability and transparency Privacy Robustness Security and resilience System lifecycle Foundational and terminology

This work item describes the challenges of securing AI-based systems and solutions, including challenges relating to data, algorithms and models…

Published

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

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

Content Type

Securing Artificial Intelligence (SAI) – Explicability and transparency of AI processing

Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 3: Explainability; Text in English

Trustworthiness – Vocabulary

The Use of Artificial Intelligence in Health Care: Trustworthiness

Systems and software engineering. Systems and software Quality Requirements and Evaluation (SQuaRE). Measurement of data quality

Systems and software engineering. Requirements for managers of information for users of systems, software, and services

Systems and software engineering. Design and development of information for users

Standard for XAI – eXplainable Artificial Intelligence – for Achieving Clarity and Interoperability of AI Systems Design

Standard for Fail-Safe Design of Autonomous and Semi-Autonomous Systems

Securing Artificial Intelligence (SAI) – Problem Statement

Recommended Practice for Organizational Governance of Artificial Intelligence

NIST Artifical Intelligence Risk Management Framework

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