GDS is updating the Data Ethics Framework to reflect advancements in areas such as AI.
The framework is designed to encourage those working with data in the public sector to consider the ethical dimensions that may arise during their projects.
It follows three key principles: transparency, accountability and fairness. It also provides five specific actions that teams should follow throughout their projects: define public benefit and user need, involve diverse expertise, comply with the law, check the quality and limitations of the data and evaluate and consider wider policy implications.
The framework was last updated in 2020. The new updates follow the UK government’s recently announced AI Opportunities Action Plan, which GDS said underlines the importance of safe and responsible AI adoption.
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“We want to make sure the framework reflects these changes, remains relevant and practical, and continues to support public trust in government’s use of data and data-driven technologies,” it said in a blog post.
GDS said that after engaging with teams across government, it found that the volume and variety of guidance, and lack of clear signposting make it difficult for people to find the right resources and know which ones to follow for their projects.
As such, it is reviewing and updating the Data Ethics Framework with the goal to:
- Provide the latest, comprehensive central government guidance on data and AI ethics, aligning across and merging existing documents where possible
- Align the framework with the latest advice and best practice
- Make it easier for teams to apply to real projects
- Provide clearer guidance on emerging issues such as AI
GDS is asking those working in the public sector on data and technology projects to help them by providing their insights.
