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The Eticas AI Risk Taxonomy: Open Infrastructure for Operationalizing AI Audits

A standardized evaluation framework for operationalizing AI audits.

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The Eticas AI Risk Taxonomy: Open Infrastructure for Operationalizing AI Audits

By Gemma Galdon Clavell, Pablo Accuosto, Usman GohararXiv
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This paper presents the Eticas AI Risk Taxonomy, a structured framework for evaluating and auditing AI systems. The taxonomy organizes risks into 76 subcategories across 10 categories and provides mappings to 18 external frameworks.

It demonstrates a bridge from concept to graded finding by separating risks from their surface mechanisms.

Abstract

This paper presents the Eticas AI Risk Taxonomy, a structured framework for evaluating and auditing AI systems. The taxonomy organizes risks into 76 subcategories across 10 categories and provides mappings to 18 external frameworks. It demonstrates a bridge from concept to graded finding by separating risks from their surface mechanisms.

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The Eticas AI Risk Taxonomy: Open Infrastructure for Operationalizing AI Audits | Aramai