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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 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.
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.
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