Governance

Accountability (AI)

Definition

The principle that individuals and organisations involved in AI development and deployment can be held responsible for the outcomes their systems produce. The EU AI Act establishes clear accountability chains between providers, importers, distributors, and deployers.

Related Terms

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.

AI Ethics

The application of moral principles—fairness, accountability, transparency, non-maleficence, and human dignity—to the design, development, and deployment of AI systems. AI ethics provides the normative foundation that regulations like the EU AI Act translate into enforceable obligations.

AI Liability Directive

A proposed EU directive that would make it easier for victims of AI-caused harm to seek compensation by establishing disclosure obligations and a rebuttable presumption of causation. It complements the EU AI Act by addressing civil liability where the Act focuses on market access requirements.

Related Services

Eu Ai Act Compliance

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