tag:www.gov.uk,2005:/data-ethics-guidance Find data ethics guidance, standards and frameworks 2025-01-30T12:42:49+00:00 HM Government tag:www.gov.uk,2005:/data-ethics-guidance/the-five-safes-framework 2025-01-30T12:42:49+00:00 The Five Safes Framework The 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-care 2025-01-30T12:39:19+00:00 A buyer's guide to AI in health and care This 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-use 2025-01-30T12:38:43+00:00 Building public confidence in location data: The ABC of ethical use This 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-practice 2025-01-30T12:38:06+00:00 The Technology Code of Practice The 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-innovation 2025-01-30T12:36:42+00:00 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. tag:www.gov.uk,2005:/data-ethics-guidance/privacy-enhancing-technologies-adoption-guide 2025-01-30T12:35:20+00:00 Privacy Enhancing Technologies Adoption Guide The 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-assurance 2025-01-30T12:34:31+00:00 Introduction to AI assurance This 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-techniques 2025-01-30T12:30:10+00:00 Portfolio of AI assurance techniques This 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-making 2025-01-30T11:50:06+00:00 Review into bias in algorithmic decision-making This 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-framework 2025-01-30T11:47:14+00:00 Data Ethics Framework The 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-playbook 2025-01-30T11:45:28+00:00 The Digital, Data and Technology Playbook The 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-research 2025-01-30T11:01:33+00:00 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. tag:www.gov.uk,2005:/data-ethics-guidance/ethical-considerations-related-to-the-inclusivity-of-data-for-research-and-statistics 2025-01-30T10:58:21+00:00 Ethical considerations related to the inclusivity of data for research and statistics This 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-methods 2025-01-29T16:31:14+00:00 Ethical considerations associated with Qualitative Research methods This 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-statistics 2025-01-29T16:30:07+00:00 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. tag:www.gov.uk,2005:/data-ethics-guidance/guidelines-for-ai-procurement 2025-01-29T16:20:44+00:00 Guidelines for AI procurement A 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-guide 2025-01-29T16:18:29+00:00 Responsible AI in Recruitment guide Guidance for procuring and deploying AI responsibly in the HR and recruitment sector. tag:www.gov.uk,2005:/data-ethics-guidance/the-government-data-quality-framework 2025-01-29T16:17:49+00:00 The Government Data Quality Framework Towards 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-making 2025-01-29T16:14:10+00:00 Ethics, Transparency and Accountability Framework for Automated Decision-Making This 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-services 2025-01-29T16:11:29+00:00 Artificial intelligence in public services Guidance 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-playbook 2025-01-29T16:08:41+00:00 The Scottish AI Playbook A 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-register 2025-01-29T16:04:30+00:00 Scottish AI Register The 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-tool 2025-01-29T16:02:56+00:00 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. tag:www.gov.uk,2005:/data-ethics-guidance/ethical-principles 2025-01-29T16:01:20+00:00 Ethical 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-statistics 2025-01-29T15:59:50+00:00 Ethical considerations in the use of geospatial data for research and statistics This 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-guidance 2025-01-29T15:58:36+00:00 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. tag:www.gov.uk,2005:/data-ethics-guidance/using-data-from-third-parties-for-research-and-statistics-high-level-ethics-checklist 2025-01-29T15:57:39+00:00 Using Data from Third Parties for Research and Statistics: High-Level Ethics Checklist This 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-statistics 2025-01-29T15:55:36+00:00 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. tag:www.gov.uk,2005:/data-ethics-guidance/ethical-considerations-relating-to-the-creation-and-use-of-synthetic-data 2025-01-29T15:52:48+00:00 Ethical considerations relating to the creation and use of synthetic data This 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-safety 2025-01-29T15:50:55+00:00 Understanding artificial intelligence ethics and safety Understand how to use artificial intelligence ethically and safely. tag:www.gov.uk,2005:/data-ethics-guidance/data-sharing-governance-framework 2025-01-29T15:47:09+00:00 Data Sharing Governance Framework This 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-technologies 2025-01-27T17:09:40+00:00 A guide to good practice for digital and data-driven health technologies The 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-ai 2025-01-27T17:09:29+00:00 Explaining decisions made with AI This 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�