We use some essential cookies to make this website work.
We’d like to set additional cookies to understand how you use GOV.UK, remember your settings and improve government services.
We also use cookies set by other sites to help us deliver content from their services.
You have accepted additional cookies. You can change your cookie settings at any time.
You have rejected additional cookies. You can change your cookie settings at any time.
Departments, agencies and public bodies
News stories, speeches, letters and notices
Detailed guidance, regulations and rules
Reports, analysis and official statistics
Consultations and strategy
Data, Freedom of Information releases and corporate reports
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 paper builds on existing data laws and ethical principles, as well as the Geospatial Commission’s own research.
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.
This guide introduces key AI assurance concepts and terms and situates them within the wider AI governance landscape.
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 …
Guidance on the expected standards and responsibilities when designing/conducting social and behavioural research for/on-behalf of government.
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.
A summary of best practice addressing specific challenges of acquiring Artificial Intelligence (AI) technologies in government.
A comprehensive guide designed to support businesses and organisations in Scotland in implementing Artificial Intelligence (AI) in a trustworthy, ethical, and inclusive manner.
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 provides an overview of how project teams can consider public views regarding the use of data within their research and statistics projects.
This guidance document explores ethical considerations in the use of synthetic data for research, analysis, and statistics.
Understand how to use artificial intelligence ethically and safely.
Don’t include personal or financial information like your National Insurance number or credit card details.
To help us improve GOV.UK, we’d like to know more about your visit today. Please fill in this survey (opens in a new tab).