Provide appropriate transparency and explainability
Download: JSON · MarkdownUnder UK AI regulation framework, Principle 2, Part 3
What this label means
- Verified
- — a named reviewer opened the official source and confirmed the record; the date and the reviewer are shown.
- Pending review
- — linked to the official source and in the queue for a reviewer to confirm.
- Source-linked
- — linked to the official source, not yet confirmed by a reviewer.
On this page 9 sections
In brief
Provide appropriate transparency and explainability is a voluntary measure under the UK AI regulation framework in the United Kingdom (Principle 2, Part 3). Organisations should communicate when and how AI is used and provide explanations proportionate to the risk, so that people can understand decisions affecting them. The record carries 1 evidence example and mappings to 1 framework.
- Instrument
- UK AI regulation framework
- Jurisdiction
- United Kingdom
- Nature
- Voluntary guidance
- Source reference
- Principle 2, Part 3
- Who it binds
- Provider / developer, Deployer / user organisation
- Evidence examples
- 1
- Framework mappings
- NIST AI Risk Management Framework 1.0
- Controls that meet it
- 3
- Official source
- Open official text
- Verification
- Source-linked
What does it require?
Organisations should communicate when and how AI is used and provide explanations proportionate to the risk, so that people can understand decisions affecting them. For personal data, UK GDPR transparency and automated decision-making rights make this binding in practice.
Practical action
Publish AI use notices and keep explainability documentation for decisions about individuals.
Who does it apply to?
All AI uses; binding where UK GDPR applies.
- Sectors
- Cross-sector / all sectors
Which controls meet this duty?
Satisfies: the control, operated properly, does the work the duty asks for. Supports: it contributes but the duty needs more. Each control page lists every other duty it serves, so work done once can be counted once.
-
satisfiesProcessProduct owner · at launch and on material changeAI interaction and use disclosure notices
Serves 18 recorded duties · evidence: AI interaction or use notice, Notice catalogue, Notice wording approval
Public AI use notices.
-
supportsProcessCustomer operations lead · once per ai systemDecision explanation, human review and appeal route
Serves 12 recorded duties · evidence: Adverse-decision explanation template, AI decision challenge and human review procedure, Challenge and reversal log
Explanations of decisions about individuals.
-
supportsProcessProduct or model owner · at launch and on material changeTechnical documentation, model cards and instructions for use
Serves 14 recorded duties · evidence: Technical documentation file, Model card or deployer information pack, Instructions for use
Explainability documentation.
Templates that cover this duty
Generated from the records. Free · no account · links emailed to your work address. This duty is cited in each file with its source reference and a link back here.
- AI Agent Registry and Permission Matrix
Register · XLSX and DOCX · v6
- EU AI Act Article 50 Transparency Kit
Kit · DOCX and XLSX · v32
- NIST AI RMF ↔ EU AI Act ↔ ISO/IEC 42001 Crosswalk
Crosswalk · XLSX · v3
- AI Model Card
Kit · DOCX and XLSX · v4
What evidence would a reviewer expect?
| Evidence | Type | Notes |
|---|---|---|
| AI transparency notice | document |
Framework mappings
Original editorial crosswalks. They cite clause numbers only and reproduce no standard text; confidence reflects how direct the mapping is.
See every United Kingdom duty mapped this way →
| Framework | Reference | Note | Confidence |
|---|---|---|---|
| NIST AI RMF 1.0 | GOVERN 4.x, MAP 1.x | Original editorial mapping. | medium |
Frequently asked questions
Is this a legal requirement?
No. It is voluntary guidance under UK AI regulation framework; following it is expected or recommended rather than required by law.
Who must comply with this obligation?
All AI uses; binding where UK GDPR applies.
What evidence shows compliance?
A reviewer would expect: AI transparency notice.
Which frameworks map to this obligation?
It is mapped to NIST AI Risk Management Framework 1.0 GOVERN 4.x, MAP 1.x. These are editorial crosswalks with a stated confidence, not official mappings.
Which controls satisfy this obligation?
Decision explanation, human review and appeal route; Technical documentation, model cards and instructions for use; AI interaction and use disclosure notices.
What should an organisation do in practice?
Publish AI use notices and keep explainability documentation for decisions about individuals.
Cite this record
AIPolicyTracker (2026). “Provide appropriate transparency and explainability (UK AI regulation framework)” [AIPT-OBL-0073, verified 26 September 2026 by Bhaskar Bhatt]. https://aipolicytracker.org/id/AIPT-OBL-0073 (accessed 27 October 2026). Data licensed CC BY 4.0.
Permanent id AIPT-OBL-0073: it never changes or gets reused, and its address keeps working if this page moves.
Cite the official text alongside it: A pro-innovation approach to AI regulation, UK Government, Department for Science, Innovation and Technology, https://www.gov.uk/government/publications/ai-regulation-a-pro-innovation-approach.
BibTeX
@misc{aipolicytracker2026_provideappropriatetransp,
author = {{AIPolicyTracker}},
title = {{Provide appropriate transparency and explainability (UK AI regulation framework)}},
year = {2026},
howpublished = {\url{https://aipolicytracker.org/obligations/uk-principles-transparency-explainability}},
url = {https://aipolicytracker.org/obligations/uk-principles-transparency-explainability},
urldate = {2026-10-27},
note = {Data licensed CC BY 4.0. Accessed 27 October 2026}
}
Change history
No change to this record's tracked fields has been recorded since 15 October 2026, when field-level history began.
Similar obligations in other instruments
- Employers must inform workers and their representatives before using high-risk AI at work — EU AI Act, European Union
- Providers of generative AI must mark synthetic output as artificially generated in a machine-readable way — EU AI Act, European Union
- Deployers must tell natural persons that a high-risk AI system is used in decisions about them — EU AI Act, European Union
- Deployers of emotion recognition or biometric categorisation must inform exposed persons — EU AI Act, European Union
- Deployers must disclose deepfakes and AI-generated text published on matters of public interest — EU AI Act, European Union
- Deployers must explain individual decisions taken with high-risk AI on request — EU AI Act, European Union
- Frontier developers must publish a transparency report before deploying a new frontier model — California SB 53, California (United States)
- Disclose AI interaction and label synthetic content — EU AI Act, European Union
Disclaimer: informational only, not legal advice. Verify every claim against the linked official sources and consult a qualified lawyer before acting.