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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.
This guide sets out important questions you need to consider to make well-informed decisions about buying AI products.
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 page provides details about DSIT's portfolio of AI assurance techniques and how to use it.
The Data Ethics Framework guides appropriate and responsible data use in government and the wider public sector.
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.
This high-level guidance explores ethical considerations associated with the use of machine learning techniques for research and statistical purposes.
A summary of best practice addressing specific challenges of acquiring Artificial Intelligence (AI) technologies in government.
Guidance for procuring and deploying AI responsibly in the HR and recruitment sector.
This 7 point framework will help government departments with the safe, sustainable and ethical use of automated or algorithmic decision-making systems.
A comprehensive guide designed to support businesses and organisations in Scotland in implementing Artificial Intelligence (AI) in a trustworthy, ethical, and inclusive manner.
The Scottish AI Register provides information on the Artificial Intelligence (AI) systems in use or in development within the Scottish public sector.
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.
The guide contains a set of principles that set out what the NHS expects from suppliers and users of data-driven technologies.
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…
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