Transparency & Algorithm Registers

Transparency is one of the most important principles in responsible AI. It ensures that citizens, employees and supervisory bodies understand how an AI system works, what data it uses and which risks it may create.

What Is an Algorithm Register?

An algorithm register is a publicly accessible overview explaining the purpose, functioning, risks, limitations and governance of algorithmic and AI systems used by an organisation.

Key Elements to Document

• Purpose and function of the AI system
• Data sources, dataset quality and data flows
• Known risks and mitigation measures
• Model limitations and uncertainties
• Human oversight and intervention possibilities
• Monitoring procedures and incident history
• Explainability information for affected users

Transparency Requirements in the EU AI Act

The AI Act requires organisations to make AI systems traceable, understandable and accountable. Documentation must be sufficient for audits and supervisory authorities.

Why Transparency Builds Trust

When organisations are open about how AI works, trust increases. Transparency prevents surprises, supports accountability and makes systems more fair, safe and predictable.

Practical Starting Points

• Create an internal algorithm register before going public
• Use datasheets, model cards and version control
• Ensure legal, technical and ethical review
• Document monitoring and changes continuously
• Write for the public — not just experts

Transparency is not an administrative burden. It is the foundation of fair, responsible and trustworthy AI in the public sector.