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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.
The Five Safes framework is a set of principles which enable data services to provide safe research access to data.
This guide sets out important questions you need to consider to make well-informed decisions about buying AI products.
The Technology Code of Practice is a set of criteria to help government design, build and buy technology.
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.
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.
This guide introduces key AI assurance concepts and terms and situates them within the wider AI governance landscape.
This page provides details about DSIT's portfolio of AI assurance techniques and how to use it.
The Digital, Data and Technology (DDaT) Playbook provides guidance on sourcing and contracting for digital, data and technology projects and programmes.
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…
This guidance can be used as a practical resource to help researchers identify different ethical issues when conducting qualitative research.
Guidance for procuring and deploying AI responsibly in the HR and recruitment sector.
Towards a data quality culture: principles and practices to assess, communicate and improve the quality of data in government.
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.
A set of ethical principles published by the UK Statistics Authority (UKSA).
This guidance document explores ethical considerations in the use of geospatial data for research, analysis and statistics.
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.
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.
This guidance document explores ethical considerations in the use of synthetic data for research, analysis, and statistics.
The guide contains a set of principles that set out what the NHS expects from suppliers and users of data-driven technologies.
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