tag:www.gov.uk,2005:/data-ethics-guidanceFind data ethics guidance, standards and frameworks2025-01-30T12:42:49+00:00HM Governmenttag:www.gov.uk,2005:/data-ethics-guidance/the-five-safes-framework2025-01-30T12:42:49+00:00The Five Safes FrameworkThe Five Safes framework is a set of principles which enable data services to provide safe research access to data.tag:www.gov.uk,2005:/data-ethics-guidance/a-buyers-guide-to-ai-in-health-and-care2025-01-30T12:39:19+00:00A buyer's guide to AI in health and careThis guide sets out important questions you need to consider to make well-informed decisions about buying AI products.tag:www.gov.uk,2005:/data-ethics-guidance/building-public-confidence-in-location-data-the-abc-of-ethical-use2025-01-30T12:38:43+00:00Building public confidence in location data: The ABC of ethical useThis paper builds on existing data laws and ethical principles, as well as the Geospatial Commission’s own research.tag:www.gov.uk,2005:/data-ethics-guidance/the-technology-code-of-practice2025-01-30T12:38:06+00:00The Technology Code of PracticeThe Technology Code of Practice is a set of criteria to help government design, build and buy technology.tag:www.gov.uk,2005:/data-ethics-guidance/the-model-for-responsible-innovation2025-01-30T12:36:42+00:00The Model for Responsible InnovationThe 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. tag:www.gov.uk,2005:/data-ethics-guidance/privacy-enhancing-technologies-adoption-guide2025-01-30T12:35:20+00:00Privacy Enhancing Technologies Adoption GuideThe PETs Adoption Guide is a question-based flowchart to aid decision-makers in thinking through which Privacy Enhancing Technologies (PETs) may be useful in their projects.tag:www.gov.uk,2005:/data-ethics-guidance/introduction-to-ai-assurance2025-01-30T12:34:31+00:00Introduction to AI assuranceThis guide introduces key AI assurance concepts and terms and situates them within the wider AI governance landscape. tag:www.gov.uk,2005:/data-ethics-guidance/portfolio-of-ai-assurance-techniques2025-01-30T12:30:10+00:00Portfolio of AI assurance techniquesThis page provides details about DSIT's portfolio of AI assurance techniques and how to use it.tag:www.gov.uk,2005:/data-ethics-guidance/review-into-bias-in-algorithmic-decision-making2025-01-30T11:50:06+00:00Review into bias in algorithmic decision-makingThis review considers the impact that an increasing use of algorithmic tools is having on bias in decision-making, the steps that are required to manage risks, and the opportunities that better use of data offers to enhance �tag:www.gov.uk,2005:/data-ethics-guidance/data-ethics-framework2025-01-30T11:47:14+00:00Data Ethics FrameworkThe Data Ethics Framework guides appropriate and responsible data use in government and the wider public sector. tag:www.gov.uk,2005:/data-ethics-guidance/the-digital-data-and-technology-playbook2025-01-30T11:45:28+00:00The Digital, Data and Technology PlaybookThe Digital, Data and Technology (DDaT) Playbook provides guidance on sourcing and contracting for digital, data and technology projects and programmes.tag:www.gov.uk,2005:/data-ethics-guidance/gsr-ethical-assurance-for-social-and-behavioural-research2025-01-30T11:01:33+00:00GSR Ethical Assurance for Social and Behavioural ResearchGuidance on the expected standards and responsibilities when designing/conducting social and behavioural research for/on-behalf of government.tag:www.gov.uk,2005:/data-ethics-guidance/ethical-considerations-related-to-the-inclusivity-of-data-for-research-and-statistics2025-01-30T10:58:21+00:00Ethical considerations related to the inclusivity of data for research and statisticsThis guidance focuses on ethical considerations related to the inclusivity of data for research and statistical projects, addressing inclusivity from the perspective of the UK Statistics Authority’s current data ethics appro�tag:www.gov.uk,2005:/data-ethics-guidance/ethical-considerations-associated-with-qualitative-research-methods2025-01-29T16:31:14+00:00Ethical considerations associated with Qualitative Research methodsThis guidance can be used as a practical resource to help researchers identify different ethical issues when conducting qualitative research.tag:www.gov.uk,2005:/data-ethics-guidance/ethical-considerations-in-the-use-of-machine-learning-for-research-and-statistics2025-01-29T16:30:07+00:00Ethical considerations in the use of machine learning for research and statisticsThis high-level guidance explores ethical considerations associated with the use of machine learning techniques for research and statistical purposes. tag:www.gov.uk,2005:/data-ethics-guidance/guidelines-for-ai-procurement2025-01-29T16:20:44+00:00Guidelines for AI procurementA summary of best practice addressing specific challenges of acquiring Artificial Intelligence (AI) technologies in government.tag:www.gov.uk,2005:/data-ethics-guidance/responsible-ai-in-recruitment-guide2025-01-29T16:18:29+00:00Responsible AI in Recruitment guideGuidance for procuring and deploying AI responsibly in the HR and recruitment sector.tag:www.gov.uk,2005:/data-ethics-guidance/the-government-data-quality-framework2025-01-29T16:17:49+00:00The Government Data Quality FrameworkTowards a data quality culture: principles and practices to assess, communicate and improve the quality of data in government.tag:www.gov.uk,2005:/data-ethics-guidance/ethics-transparency-and-accountability-framework-for-automated-decision-making2025-01-29T16:14:10+00:00Ethics, Transparency and Accountability Framework for Automated Decision-MakingThis 7 point framework will help government departments with the safe, sustainable and ethical use of automated or algorithmic decision-making systems.tag:www.gov.uk,2005:/data-ethics-guidance/artificial-intelligence-in-public-services2025-01-29T16:11:29+00:00Artificial intelligence in public servicesGuidance on Artificial Intelligence (AI) in public sector services from the Equality and Human Rights Commission.tag:www.gov.uk,2005:/data-ethics-guidance/the-scottish-ai-playbook2025-01-29T16:08:41+00:00The Scottish AI PlaybookA comprehensive guide designed to support businesses and organisations in Scotland in implementing Artificial Intelligence (AI) in a trustworthy, ethical, and inclusive manner. tag:www.gov.uk,2005:/data-ethics-guidance/scottish-ai-register2025-01-29T16:04:30+00:00Scottish AI RegisterThe Scottish AI Register provides information on the Artificial Intelligence (AI) systems in use or in development within the Scottish public sector.tag:www.gov.uk,2005:/data-ethics-guidance/ethics-self-assessment-tool2025-01-29T16:02:56+00:00Ethics Self-Assessment ToolThe ethics self-assessment process aims to offer researchers an easy-to-use framework to review the ethics of their projects throughout the research cycle. tag:www.gov.uk,2005:/data-ethics-guidance/ethical-principles2025-01-29T16:01:20+00:00Ethical Principles A set of ethical principles published by the UK Statistics Authority (UKSA).tag:www.gov.uk,2005:/data-ethics-guidance/ethical-considerations-in-the-use-of-geospatial-data-for-research-and-statistics2025-01-29T15:59:50+00:00Ethical considerations in the use of geospatial data for research and statisticsThis guidance document explores ethical considerations in the use of geospatial data for research, analysis and statistics.tag:www.gov.uk,2005:/data-ethics-guidance/considering-public-good-in-research-and-statistics-ethics-guidance2025-01-29T15:58:36+00:00Considering Public Good in Research and Statistics: Ethics GuidanceThis 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.tag:www.gov.uk,2005:/data-ethics-guidance/using-data-from-third-parties-for-research-and-statistics-high-level-ethics-checklist2025-01-29T15:57:39+00:00Using Data from Third Parties for Research and Statistics: High-Level Ethics ChecklistThis high-level checklist is designed to guide researchers and analysts through some key points that will need to be considered prior to accessing data that has been collected by, or sourced from, third party organisations.tag:www.gov.uk,2005:/data-ethics-guidance/considering-public-views-and-engagement-regarding-the-use-of-data-for-research-and-statistics2025-01-29T15:55:36+00:00Considering public views and engagement regarding the use of data for research and statisticsThis guidance provides an overview of how project teams can consider public views regarding the use of data within their research and statistics projects.tag:www.gov.uk,2005:/data-ethics-guidance/ethical-considerations-relating-to-the-creation-and-use-of-synthetic-data2025-01-29T15:52:48+00:00Ethical considerations relating to the creation and use of synthetic dataThis guidance document explores ethical considerations in the use of synthetic data for research, analysis, and statistics. tag:www.gov.uk,2005:/data-ethics-guidance/understanding-artificial-intelligence-ethics-and-safety2025-01-29T15:50:55+00:00Understanding artificial intelligence ethics and safetyUnderstand how to use artificial intelligence ethically and safely.tag:www.gov.uk,2005:/data-ethics-guidance/data-sharing-governance-framework2025-01-29T15:47:09+00:00Data Sharing Governance FrameworkThis document provides guidance on how to make data sharing more efficient in government departments and agencies.tag:www.gov.uk,2005:/data-ethics-guidance/a-guide-to-good-practice-for-digital-and-data-driven-health-technologies2025-01-27T17:09:40+00:00A guide to good practice for digital and data-driven health technologiesThe guide contains a set of principles that set out what the NHS expects from suppliers and users of data-driven technologies.tag:www.gov.uk,2005:/data-ethics-guidance/explaining-decisions-made-with-ai2025-01-27T17:09:29+00:00Explaining decisions made with AIThis co-badged guidance by the ICO and The Alan Turing Institute aims to give organisations practical advice to help explain the processes, services and decisions delivered or assisted by AI, to the individuals affected by t�