Explainability and transparency Archives - AI Standards Hub

Explainability and transparency

Research and analysis item

The Bank of England and the Financial Conduct Authority launched the Artificial Intelligence Public-Private Forum (AIPPF) on 12 October 2020.

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Topic:

Data Data protection Data quality Ethical considerations Explainability and transparency Good practice for development and use Organisational governance Risk management

Domain:

Healthcare and medicine - ehealth Financial services

Authors:

Daniel Krupka Nikolas Becker

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Artificial intelligence is everywhere and affects everyone – from deciding what content people see on their social media feeds to…

Last Updated: 14 Jan 2025

Strategies and roadmaps

Roadmap towards the future regulatory framework for medical devices B

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Topic:

Assurance and testing Explainability and transparency Safety

Domain:

Healthcare and medicine - Medical devices

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This roadmap provides an update on the intended timelines to implement the future core regulations. 28 countries from across the…

Organisation: Medicines and Healthcare products Regulatory Agency

Last Updated: 8 Jan 2025

Regulation and official guidance

Generative AI framework for HMG B

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Topic:

Accountability Bias and discrimination Data protection Explainability and transparency Privacy Risk management

Domain:

Internet of things Public sector

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The Generative AI Framework for HMG is guidance on using generative AI safely and securely for civil servants and people…

Organisation: Cabinet Office and Central Digital and Data Office

Last Updated: 8 Jan 2025

GB30420619

Trustworthiness – Vocabulary

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Horizontal AI-enabling - IT governance Accountability Accuracy and performance

Data management Data protection Data quality Explainability and transparency human centred design Privacy Robustness Safety Security and resilience System quality Foundational and terminology

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This document provides a definition of trustworthiness for systems and their associated services, along with a selected set of their…

Last Updated: 7 Jan 2025

The Use of Artificial Intelligence in Health Care: Trustworthiness

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Healthcare and medicine AI-specific Accuracy and performance Bias and discrimination

Data collection Data processing Data protection Data quality Explainability and transparency human centred design Human-computer interaction Privacy Safety Security and resilience Stakeholder engagement and communication System quality Process, management and governance Product and performance requirements

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Artificial Intelligence (AI) is quickly becoming a pervasive tool in the health care industry. This standard identifies the core requirements…

Last Updated: 7 Jan 2025

GB30279960

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

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Horizontal AI-enabling - Data Quality management/quality assurance Software

Data protection Data quality Explainability and transparency Privacy Measurement and test methods

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This International Standard is a part of the SQuaRE series of International Standards. It provides a set of data quality…

Last Updated: 7 Jan 2025

GB30345966

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

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Horizontal AI-enabling - Information management Project management Software

Documentation Explainability and transparency Project management Skills and readiness Stakeholder engagement and communication Process, management and governance

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What is this standard about? This document supports the needs of users for consistent, complete, accurate, and usable information. It…

Last Updated: 7 Jan 2025

GB30399911

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

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Horizontal AI-enabling - Information management Software Documentation

Explainability and transparency Project management Stakeholder engagement and communication Process, management and governance

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What is ISO/IEC/IEEE 26514 – Software development information about? ISO/IEC/IEEE 26514 is an International Standard that focuses on systems and…

Last Updated: 7 Jan 2025

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

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Horizontal AI-specific Explainability and transparency Interoperability

Product and performance requirements

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This standard defines mandatory and optional requirements and constraints that need to be satisfied for an AI method, algorithm, application…

Last Updated: 7 Jan 2025

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

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Horizontal AI-specific Accountability Explainability and transparency

Risk management Robustness Safety Security and resilience System quality Robotics and autonomous systems Measurement and test methods Product and performance requirements

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

Last Updated: 7 Jan 2025

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

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Horizontal AI-specific Explainability and transparency Process, management and governance See more

The intent of this work item is to extend from the published work of SAI to address the issues of…

Last Updated: 7 Jan 2025

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

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

Last Updated: 7 Jan 2025

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