Governance

AI Transparency

Definition

The principle that AI systems, their capabilities, limitations, and decision-making processes should be understandable to affected users, deployers, and regulators. The EU AI Act mandates transparency obligations at multiple risk tiers, from simple chatbot disclosure to full technical documentation for high-risk systems.

Related Terms

Explainability (XAI)

The ability to understand and explain how an AI model reaches its decisions. Explainable AI is a mandatory requirement for high-risk AI systems under the EU AI Act and is critical for building trust with regulators, auditors, and end users.

AI Documentation

Comprehensive records describing an AI system's design, training data, performance characteristics, limitations, and intended use. The EU AI Act distinguishes between technical documentation (for authorities and notified bodies) and instructions for use (for deployers).

AI Governance

The framework of policies, processes, roles, and controls that ensure AI systems are developed, deployed, and used responsibly and in compliance with applicable law. AI governance spans ethics, bias, privacy, security, and regulatory compliance across the model lifecycle.

Related Services

Eu Ai Act Compliance

Knowing the Terms Is Step One. Applying Them Is Step Two.

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