Proud to be among Europe’s first AI transparency signatories—many more should follow

Transparency Note

This article was drafted with the support of generative AI and subsequently reviewed, edited and approved by Policy-Insider.AI.

EU AI Act · Transparency

Among the First Signatories — and the List Should Already Be Longer

Policy-Insider.AI is proud to be among the initial signatories of the European Union’s Code of Practice on Transparency of AI-Generated Content.

We therefore find ourselves alongside leading technology companies, established European businesses, public institutions and a strong contingent of innovative smaller companies. For a young European AI company, these are lists we are proud to join.

Provider section
82

Signatories listed

As of 3 August 2026, the Commission’s published list includes 82 signatories to the provider section.

Deployer section
152

Signatories listed

The same list includes 152 signatories to the deployer section. Policy-Insider.AI is proud to be included in both.

Applicable since
2 Aug 2026

Article 50 obligations

The transparency obligations under Article 50 of the EU AI Act became applicable on 2 August 2026.

The European Commission announced the first group of signatories in its publication: Strong backing for the Code of Practice on transparency of AI-generated content →

But the signatories list should already be much longer.

Section 01 · The Compliance Gap

AI adoption is moving faster than AI compliance

Generative AI is already being used throughout European business. It supports research, communications, marketing, customer service, software development, reporting and internal decision-making.

Yet many organisations still treat AI compliance as a specialist issue for model developers or large technology companies. Others regard the EU AI Act as something that remains on the horizon.

That is no longer the case.

The transparency obligations under Article 50 of the EU AI Act became applicable on 2 August 2026. They include obligations relating to interactions with AI systems, machine-readable marking of AI-generated or manipulated content, deepfakes and certain AI-generated text concerning matters of public interest.

Not every use of generative AI creates the same obligations, and not every AI-assisted text must automatically carry the same label. The applicable requirements depend on the organisation’s role, the system involved, the type of content and the degree of human review and editorial control.

But every organisation making professional use of generative AI should now be able to answer some basic questions:

  • Scope: Where are we using AI?
  • Role: Are we acting as a provider, a deployer or both?
  • Obligations: Which outputs fall within the transparency obligations?
  • Disclosure: How are relevant outputs marked or disclosed?
  • Ownership: Who is responsible for ensuring and documenting compliance?

For many organisations, these questions have not yet been answered systematically.

Section 02 · Voluntary Code, Mandatory Law

Signing the Code is voluntary. Compliance is not.

Signing the Code of Practice is not itself mandatory. Organisations can choose other adequate means of demonstrating compliance with the relevant provisions of the AI Act.

But not signing the Code does not remove the underlying legal obligations.

The Code provides a common European framework for putting those obligations into practice. It offers signatories a more predictable and structured route for demonstrating compliance and is intended to reduce uncertainty and administrative complexity across different EU markets and supervisory authorities.

That is why the number of signatories matters.

The first group of signatories represents an encouraging start. It does not, however, come close to representing the full universe of companies already incorporating generative AI into products, professional workflows and public communications.

We believe many more organisations should examine the Code, determine which sections are relevant to them and decide whether signing offers the clearest route to implementation.

Section 03 · Practising What We Monitor

Regulatory intelligence should lead to action

At Policy-Insider.AI, we support companies and organisations in identifying, analysing and understanding policy developments.

Our work is based on a simple premise: detecting regulatory change is not enough. Regulatory intelligence only creates value when it enables an organisation to understand what is changing, determine how it is affected and act in time.

The same standard must apply to us.

As a provider of AI-supported policy analysis, we cannot credibly help others navigate regulatory change while treating our own obligations as an afterthought. Signing the Code is therefore more than a symbolic endorsement. It is a commitment to incorporate transparency into the way our technology and deliverables are designed. That includes making the use of generative AI visible and understandable.

What an AI label means
AI-generated does not mean unaccountable

Nor should an AI label be understood as a warning that the content is inherently unreliable. It is relevant information about how an output was produced and how it should be assessed.

Transparency enables readers and clients to calibrate their trust appropriately. It also makes the respective roles of technology, human review and editorial responsibility clearer.

Section 04 · What Comes Next

Transparency should become normal

The long-term objective should not be to attach legalistic disclaimers to everything produced with AI.

It should be to establish clear and consistent practices that allow people to understand when they are interacting with AI, when content has been generated or materially manipulated by AI and who remains accountable for the final result.

This will require more than technical marking. It will require internal governance, defined responsibilities, documented processes and a much broader understanding of how the AI Act applies to organisations that use—not only develop—AI systems.

Conclusion

Two Parts of the Same Process

We are proud that Policy-Insider.AI chose to act early. We hope that the list of signatories grows rapidly, because responsible AI adoption and AI compliance cannot be pursued as separate projects. They are two parts of the same process.

Companies have spent the past years learning what generative AI can do. They must now become equally serious about understanding what its use requires.

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Policy-Insider.AI helps organisations identify relevant EU AI Act developments, monitor implementing measures and translate regulatory change into concrete compliance action.

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Signatory to both the provider and deployer sections

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