This call for evidence seeks practical examples of how personal and non-personal data regulation interacts with AI and other data-intensive technologies, and insights on how technological progress may change how data is used in the economy. We are interested in where legal, technical, and governance arrangements could enable data use and re-use, and manage potential harms. We want to understand what is working well, where uncertainty remains, and where stakeholders see friction or challenge now and in future.
It invites respondents’ views across five thematic areas:
Theme 1: Accessing and using data;
Theme 2: Data quality, accuracy and downstream impacts;
Theme 3: Governing data use across organisations;
Theme 4: Transparency and rights in complex data environments;
Theme 5: Effectiveness of data frameworks in regulating AI.
This Call for Evidence is open until 11:59pm on 9 September 2026. Please see the full document on Gov.UK for further details.
You are welcome to answer as many or as few sections as are relevant to your expertise or experience. We particularly welcome:
- Short case studies or worked examples (explaining what you did, or what you would like to do but were unable to pursue, or are unsure how to approach);
- Descriptions of governance or decision-making processes (what you do in practice);
- Operational detail on implementation (technical, organisational, contractual, or otherwise); and
- Any existing analysis, data, research, or evaluations you can share (including unpublished material).
Please do not include personal data (such as names, contact details, or other identifying information) in free‑text responses unless specifically requested.
Privacy notice
This Call for Evidence is being run by the Department for Science, Innovation and Technology (DSIT). Further information on how DSIT will use respondents' personal data can be found in the full call for evidence privacy notice.