AI Liability — Structural Reference

Orientation

AI liability describes how responsibility, accountability, and risk are structurally assigned across artificial intelligence systems and their outcomes.

It establishes a framework for linking system behavior to accountable entities without relying on jurisdiction-specific legal interpretation.

A system produces outcomes. AI liability assigns responsibility.

Problem Space

Diffuse Responsibility

Artificial intelligence systems often involve multiple actors, making it difficult to assign responsibility for outcomes.

Unclear Attribution

System behavior may not be directly traceable to a single accountable entity.

Outcome Without Accountability

Decisions and actions may produce effects without clear responsibility for their consequences.

System Boundary

AI liability separates three distinct system concerns:

Before Attribution

Responsibilities are implicit or undefined across system actors and lifecycle stages.

At Attribution

System outcomes are analyzed and linked to accountable entities based on defined structures.

After Attribution

Responsibility is established, enabling further evaluation, governance, or response.

Structure

Further conceptual positioning is described in the About section.

Formal definition, scope boundaries, and structural models are provided in Method.