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Record STMT-WA24FF5Soft law

Procurement Policy Note: Improving Transparency of AI use in Procurement Information Note 02/24 March 2024

Guidelines State lawNorthern Europe · GBin force

This Procurement Policy Note (PPN 02/24) provides guidance for UK central government departments and public bodies on improving the transparency of artificial intelligence use in public procurement. It outlines considerations and risk mitigations for suppliers using AI to develop bids, as well as managing AI embedded in delivered services. Annexes provide links to broader government AI guidance and example disclosure questions for tender documentation.

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

Who issued it

Cabinet OfficeGovernment (executive) · GB
Lead issuer
Legal forceSoft law
Under whose authorityState law
Judged fromfull text

Who it governs

Public sector bodiesRegulatorsCompaniesAI deployers and users

Commercial, procurement, and contract management professionals in UK public sector bodies who need to manage AI-related risks in government contracts.

Sectors
Public administration · central government procurement

What the document contains

What's covered

This procurement policy note covers how public sector organizations should manage the risks associated with suppliers using artificial intelligence to write bids, how to handle confidential data when interacting with AI tools, and methods for requesting transparency regarding AI integration in delivered services.

What's missing

The document does not establish legally binding penalties for non-compliance beyond standard public sector administrative guidance, nor does it provide exhaustive technical standards for AI safety.

Key takeaways
  • In-scope organisations should take steps to identify and manage AI-related risks and opportunities within their commercial activities.
  • Suppliers are not prohibited from using AI to develop bids, but contracting authorities should implement proportionate due diligence and controls.
  • Contracting authorities should prevent confidential tender information from being used as training data for external AI systems.
  • Commercial teams should consider requiring suppliers to declare the use of AI in delivering non-AI services.
  • Annexes provide practical resources, including sample disclosure questions for inclusion in invitations to tender.
Outline
· Dissemination and Scope
· Timing
· References to Guidance
· Supplier Use of AI in Bids
· National Security Considerations
· AI in Service Delivery
· Background on Generative AI and Risks
· Contact Information
· Annex A - Guidance and Best Practice
· Annex B - AI Disclosure Questions
Issued25 March 2024
Length2,243 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.

Human Dignity

0/5

Respect for the inherent worth of persons

screening score · 2026-10-23

Human Oversight

4/5

Humans remain in control of consequential decisions

It is essential to ensure that decisions are made with the support of AI systems, not a reliance upon them, in accordance with the principles outlined in the Government’s Data Ethics Framework

Paragraph 12

screening score · 2026-10-23

Privacy

2/5

Protection of personal data and private life

whether the information gathered is subject to Data Classification policies.

An illustrative example: Video Conferencing

screening score · 2026-10-23

Transparency

4/5

Openness about how AI systems work and are used

Asking suppliers to disclose their use of AI in the creation of their tender (See Annex B for an example of text that can be added to procurement documentation).

Paragraph 7

screening score · 2026-10-23

Enforcement

1/5

Consequences and compliance mechanisms with real force

The contents of this Procurement Policy Note (PPN) apply to all Central Government Departments, their Executive Agencies and Non-Departmental Public Bodies

Dissemination and Scope

screening score · 2026-10-23

Topics

public_procurement transparency artificial_intelligence generative_ai risk_management