An Overview of the Risk-based Model of AI Governance

Abstract

This research examines risk-based approaches to AI regulation across Europe, North America, and Australia, with particular attention to the EU AI Act. The author critiques how current governance frameworks conflate risk and harm, arguing that risk assessment methodologies reproduce existing inequalities. Drawing on regulatory scholarship, the paper analyses the strengths and limitations of tiered risk classification systems and recommends implementing multiple regulatory tools and responsive strategies to strengthen AI governance frameworks beyond purely risk-based models.

Peer Review

Community peer review and discussion of this publication.