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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 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.
The Data Ethics Framework guides appropriate and responsible data use in government and the wider public sector.
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.
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.
Towards a data quality culture: principles and practices to assess, communicate and improve the quality of data in government.
This 7 point framework will help government departments with the safe, sustainable and ethical use of automated or algorithmic decision-making systems.
Guidance on Artificial Intelligence (AI) in public sector services from the Equality and Human Rights Commission.
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.
Understand how to use artificial intelligence ethically and safely.
This document provides guidance on how to make data sharing more efficient in government departments and agencies.
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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