Record STMT-W9CABEASoft law

Data regulation in the age of AI and other data-intensive technologies

Data regulation in the age of AI and other data‑intensive technologies

Report State lawNorthern Europe · GBin forceNot AI-specific

This call for evidence seeks practical examples and insights on how personal and non-personal data regulation interacts with AI and other data-intensive technologies in the UK. It explores how legal, technical, and governance arrangements enable data use while managing potential harms, and whether further guidance or reform is needed. Responses will help the government assess the effectiveness and adaptability of the UK's data frameworks.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

Department for Science, Innovation and TechnologyGovernment

Lead issuer

Department for Digital, Culture, Media & SportGovernment (executive) · GB

Co-issuer

Legal forceSoft law

Under whose authorityState law

Judged fromfull text

Who it governs

CompaniesRegulatorsAI developers and providersAI deployers and usersResearchers and academics

Organizations, researchers, and individuals with practical experience in developing, deploying, or regulating AI and data-intensive technologies who wish to submit evidence to the UK government.

Sectors

Cross-sectorTelecommunications and digital services · data-intensive technologies and digital servicesResearch and science · research and technological development

What the document contains

What's covered

This document covers a government consultation seeking evidence on the intersection between data regulation (such as the UK GDPR and Data Protection Act) and AI or data-intensive technologies. It outlines specific thematic areas including data access, accuracy, governance across supply chains, transparency, and the overall effectiveness of existing frameworks.

What's missing

The document does not contain binding policy rules, new legislation, or final regulatory decisions, as it is solely an open consultation seeking stakeholder evidence.

Key takeaways

The UK government is examining how personal and non-personal data regulation interacts with AI and data-intensive technologies.
The call for evidence focuses on five key themes: data access and use, data quality and downstream impacts, cross-organisational governance, transparency and data rights, and overall regulatory effectiveness.
Input is sought from businesses, innovators, researchers, and civil society to understand practical challenges, compliance burdens, and regulatory barriers.
Evidence gathered will help determine whether further guidance, targeted changes, or fundamental reform of data frameworks is necessary.

Outline

· Call for evidence
· Introduction
· What we are asking for
· Scope of this call for evidence
· How this call for evidence is structured
· How to respond
· About you / your organisation
· Themes
  - 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

Issued15 July 2026

Length4,326 words

FormatNot recorded

Scopenational

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

3/5

Clear responsibility for AI outcomes

how legal roles and responsibilities are allocated; how organisations choose to implement processes for solely automated decision-making

Theme 3 - Governing data use across organisations

screening score · 2026-10-23

Fairness

3/5

Non-discrimination and equitable treatment

How do you assess and manage fairness and impacts on individuals when using AI or other data‑intensive technologies?

Theme 2 - Data quality, accuracy and downstream impacts

screening score · 2026-10-23

Human Dignity

0/5

Respect for the inherent worth of persons

screening score · 2026-10-23

Human Oversight

3/5

Humans remain in control of consequential decisions

how meaningful human involvement is applied to automated decision-making processes (i.e. when there is a ‘human in the loop’

Theme 3 - Governing data use across organisations

screening score · 2026-10-23

Privacy

3/5

Protection of personal data and private life

Different UK legal frameworks already govern how personal and non-personal data can be used. These include data protection law

Introduction

screening score · 2026-10-23

Transparency

3/5

Openness about how AI systems work and are used

What approaches have you found effective for providing transparency and for enabling individuals to exercise their data protection rights

Theme 4 - Transparency and rights in complex data environments

screening score · 2026-10-23

Enforcement

0/5

Consequences and compliance mechanisms with real force

screening score · 2026-10-23

Impact Assessment

3/5

Required assessment of an AI system's risks/impacts before or during use

how organisations approach data protection impact assessments, equality impact assessments, human rights impact assessments and/or AI impact assessments

Theme 2 - Data quality, accuracy and downstream impacts

screening score · 2026-10-23

Topics

data_protection artificial_intelligence regulatory_framework data_governance compliance