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Why Definitions Matter in AI Risk

The 20-Answer Problem

A Working Taxonomy — The Five AI System Types

Which AI Type Is This?

The Unique Challenges of Generative AI

Probabilistic vs. Deterministic — Why Governance Must Change

Hallucination — The Feature Nobody Wants to Talk About

Shadow AI and Device-Embedded AI

Shadow AI — Governance Self-Assessment

The Regulatory Landscape

The EU AI Act — Risk-Tiered Regulation

ISO 42001, UNECE CRA, and the Global Standards Landscape

Concentration of Power — A Systemic Risk

Regulatory Landscape Self-Assessment

Introducing HAiPECR

HAiPECR — The Ethical Filter for AI Governance

Module Summary and Practitioner Questions

Before you can govern AI risk, you need to know what you are actually governing. This module cuts through the definitional fog that surrounds 'artificial intelligence' and gives you the precise working taxonomy that EW-AiRM uses to distinguish systems whose governance requirements are not just different in degree — but entirely different in kind.

Module 1: The AI Risk Landscape

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