What Should We Do If We Do Not Follow the EU Transparency Code of Practice?

The European Union’s rapidly evolving regulatory landscape, particularly surrounding artificial intelligence, places high stakes on transparency obligations. For businesses—especially those deploying AI-powered solutions like Coruzant Technologies—understanding and complying with key mandates like the EU AI Act Article 50 is not optional.

But what happens if an organization falls short of the EU Transparency Code of Practice? How do providers and deployers navigate non-compliance risks, especially with the increasing extraterritorial reach targeting non-EU companies? And what role does assistive technology, such as screen readers and voice product interfaces, play in ensuring accessibility and practical transparency?

In this comprehensive post, we unravel essential insights, referencing guidance from the European Commission and the European Data Protection Supervisor, to help organizations not only understand but also address transparency compliance gaps without losing user trust.

Understanding the EU AI Act Article 50 Transparency Requirement

Enacted to foster trustworthy AI, the EU AI Act places specific transparency obligations under Article 50. It mandates that providers or deployers of AI systems must ensure that users are informed adequately about the system’s capabilities, limitations, and relevant risks.

This transparency is not theoretical—it must be tangible at the first interaction with the AI system. For example, chatbots, voice interfaces, or automated decision-making tools should provide clear, understandable disclosures upfront.

Why Transparency Matters

Empower users with knowledge to make informed decisions.
Support trust and confidence in AI tools.
Enable regulatory accountability and facilitate legal oversight.

Transparency here is not just about having documentation buried in extensive legal terms—it is about demonstrating compliance meaningfully and accessibly.

Provider Responsibility Versus Deployer Responsibility

One complexity often debated involves the division of responsibility under the EU AI Act:

Entity Role Transparency Responsibilities Provider Developer or manufacturer of the AI system.

Ensure the AI system design supports transparency by default.
Provide required documentation explaining functionalities and limitations.

Deployer Entity implementing the AI system in operational settings.

Deliver upfront disclosure during user interaction.
Ensure transparency when adapting AI for specific contexts.

In many cases, collaboration between provider and deployer is critical. For instance, Coruzant Technologies, as a provider, might supply detailed usage notes; meanwhile, the deployer must ensure this information is communicated effectively to end users, including via assistive technologies.

Extraterritorial Reach: Non-EU Companies Cannot Overlook Transparency

The EU AI Act extends beyond EU borders, applying to organizations offering services or products inside the EU market, regardless of physical location. This extraterritorial reach means that companies outside Europe, including those deploying AI tools internationally, must abide by transparency standards.

Non-compliance risks include:

Penalties and fines imposed by EU supervisory authorities.
Reputational damage amplified across digital channels.
Potential bans on offering AI products within EU territories.

The European Data Protection Supervisor has emphasized that this scope intends to protect EU citizens from opaque AI practices, ensuring clarity irrespective of the provider or deployer's geographical origin.

First-Interaction Disclosure Timing: Why “Other Adequate Means” Still Require clarity

The EU AI Act identifies transparency must be disclosed at the earliest feasible moment, typically the first user interaction. When direct disclosure is impractical—perhaps due to operational constraints—regulators allow the use of “other adequate means” to inform users.

However, this flexibility does not mean vague or delayed explanation. Instead, it encourages ingenuity in how organizations can incorporate clear, accessible, and contextually relevant disclosures. Some best practices include:

Utilizing voice product interfaces to verbalize key information during onboarding.
Providing synchronized screen reader-compatible text that describes AI functions.
Integrating interactive FAQ modules that decode AI system capabilities in plain language.
Offering a concise summary card or modal popup before AI interaction begins.

For example, Coruzant Technologies might integrate a voice assistant prompt introducing itself as an AI-driven system, immediately followed by an accessible textual note compatible with screen readers, ensuring compliance with both transparency and accessibility principles.

What to Do If We Do Not Follow the Transparency Code of Practice

Despite best intentions, organizations may find themselves non-compliant with the EU transparency code. If this occurs, the following roadmap provides guidance to remediate issues promptly and responsibly:

Conduct a Gap Analysis: Audit existing documentation and user interaction flows to pinpoint where transparency failures occurred. Engage legal and compliance teams for interpretation of the Article 50 requirements as they apply specifically to your AI system.
Engage Stakeholders: Collaborate with product managers, UX writers (yes, rewriting those disclosure sentences until they’re clear!), accessibility specialists, and legal advisors to draft improved communication aligned with the code of practice.
Enhance Accessibility: Ensure disclosures are compatible with assistive technologies such as screen readers, and optimized for voice product interfaces. Accessibility is not an add-on but a core component of transparent AI.
Document and Demonstrate Compliance: Keep detailed records of remediation actions, updated documentation, screenshots, user testing reports, and any direct feedback from affected users. This trail is vital when interacting with bodies like the European Commission or the European Data Protection Supervisor.
Implement Forward-Looking Controls: Build a launch checklist integrating transparency and accessibility checks for future AI product deployments. Consider including “support tickets caused by unclear UI” in post-launch monitoring to iteratively improve communication.
Communicate Transparently With Users: Issue clear, accessible statements acknowledging the update, outlining what improvements were made, and inviting feedback. Avoid robotic or vague language that confuses users about AI capabilities.

Documentation: The Backbone of Demonstrating Compliance

Regulators expect comprehensive documentation to confirm adherence to transparency requirements. This includes:

Technical documentation describing AI functionality and limitations.
User disclosures presented during onboarding or first interaction.
Accessibility statements outlining compatibility with assistive tools.
Records of user feedback and compliance audits.

Thorough documentation can turn what might seem like an onerous compliance burden into a strategic advantage, showcasing a company’s commitment to ethical AI deployment.

Final Thoughts

The EU AI Act’s transparency mandates are challenging but essential guardrails in today’s complex AI ecosystem. Deliberate coordination between providers like Coruzant Technologies and deployers, meticulous documentation, and focus on accessibility through tools such as screen readers and voice interfaces can reduce risks and build user trust.

If your organization finds itself at risk of non-compliance, immediate action based on clear, practical steps will not only mitigate penalties but demonstrate a commitment to responsible AI that resonates with users and regulators alike.

Remember, transparent AI is https://coruzant.com/ai/ai-transparency-design-problem/ not just compliant AI—it is AI that respects and empowers its users at every interaction.