Data and AI Ethics Framework
The Data and AI Ethics Framework provides guidance for UK public sector organizations on how to use data and data-driven technologies responsibly. It sets out core principles and activities to guide the responsible development, procurement, and use of data and artificial intelligence in government. Teams working on AI or data projects are also directed to use an accompanying self-assessment tool to capture information and share learnings.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Public sector workers designing, building, maintaining, using, or updating projects that use data and AI.
What the document contains
The framework covers ethical considerations, principles, and specific activities for public sector teams working on data and AI-driven projects, supported by a self-assessment tool.
Not stated.
- The framework guides responsible development, procurement, and use of data and AI in the public sector.
- It is primarily written for government and public sector workers involved in designing, building, or using data and AI projects.
- An accompanying self-assessment tool helps teams capture information and share progress and challenges.
· Data and AI Ethics Framework · Data and AI Ethics Self-Assessment Tool
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
3/5Clear responsibility for AI outcomes
The 2020 Data Ethics Framework consists of 3 overarching principles (transparency, accountability, fairness)
Updates to this page
screening score · 2026-10-23
Fairness
3/5Non-discrimination and equitable treatment
The 2020 Data Ethics Framework consists of 3 overarching principles (transparency, accountability, fairness)
Updates to this page
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
Details
screening score · 2026-10-23
Human Oversight
0/5Humans remain in control of consequential decisions
Details
screening score · 2026-10-23
Privacy
0/5Protection of personal data and private life
Details
screening score · 2026-10-23
Transparency
3/5Openness about how AI systems work and are used
The 2020 Data Ethics Framework consists of 3 overarching principles (transparency, accountability, fairness)
Updates to this page
screening score · 2026-10-23
Enforcement
0/5Consequences and compliance mechanisms with real force
Details
screening score · 2026-10-23
Impact Assessment
1/5Required assessment of an AI system's risks/impacts before or during use
Any team working on an AI or data-driven technology project should also use the Data and AI Ethics Self-Assessment Tool.
Details
screening score · 2026-10-23