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Find data ethics guidance, standards and frameworks

From:
Government Digital Service

Find guidance for the responsible use and development of data and data technologies, including artificial intelligence (AI), developed by and for government and public sector bodies.

If you have suggestions for guidance, email data.ethics@digital.cabinet-office.gov.uk.

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8 guidance documents

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8 guidance documents
Ethical Theme Privacy
  • The Five Safes Framework

    The Five Safes framework is a set of principles which enable data services to provide safe research access to data.

    • Ethical theme: Safety, Security and Robustness and 2 others
    • Organisation: Office for National Statistics
    • Project phase: Planning
    • Technology area: Research and Statistics and 1 others
  • The Model for Responsible Innovation

    The Model for Responsible Innovation is a practical tool created by DSIT’s Responsible Technology Adoption Unit (RTA) to help teams across the public sector and beyond to innovate responsibly with data and AI.

    • Ethical theme: Safety, Security and Robustness and 5 others
    • Organisation: Department for Science, Innovation and Technology
    • Project phase: Across Lifecycle and 1 others
    • Technology area: AI and 2 others
  • GSR Ethical Assurance for Social and Behavioural Research

    Guidance on the expected standards and responsibilities when designing/conducting social and behavioural research for/on-behalf of government.

    • Ethical theme: Fairness and 3 others
    • Organisation: Government Social Research Profession
    • Project phase: Across Lifecycle
    • Technology area: Research and Statistics
  • Ethical considerations in the use of machine learning for research and statistics

    This high-level guidance explores ethical considerations associated with the use of machine learning techniques for research and statistical purposes.

    • Ethical theme: Appropriate Transparency and Explainability and 3 others
    • Organisation: UK Statistics Authority
    • Project phase: Across Lifecycle
    • Technology area: AI and 2 others
  • Ethics Self-Assessment Tool

    The ethics self-assessment process aims to offer researchers an easy-to-use framework to review the ethics of their projects throughout the research cycle.

    • Ethical theme: Safety, Security and Robustness and 5 others
    • Organisation: UK Statistics Authority
    • Project phase: Planning and 1 others
    • Technology area: Research and Statistics and 1 others
  • Considering Public Good in Research and Statistics: Ethics Guidance

    This brief guidance has been developed by the UK Statistics Authority’s Centre for Applied Data Ethics. It aims to help researchers, statisticians and analysts to consider the public good of their research.

    • Ethical theme: Safety, Security and Robustness and 5 others
    • Organisation: UK Statistics Authority
    • Project phase: Across Lifecycle
    • Technology area: Research and Statistics
  • Considering public views and engagement regarding the use of data for research and statistics

    This guidance provides an overview of how project teams can consider public views regarding the use of data within their research and statistics projects.

    • Ethical theme: Appropriate Transparency and Explainability and 3 others
    • Organisation: UK Statistics Authority
    • Project phase: Across Lifecycle
    • Technology area: Research and Statistics and 1 others
  • Data Sharing Governance Framework

    This document provides guidance on how to make data sharing more efficient in government departments and agencies.

    • Ethical theme: Accountability and Governance and 1 others
    • Organisation: Central Digital and Data Office and 1 others
    • Project phase: Planning and 1 others
    • Technology area: Data