Harms taxonomy
AIGP glossary · Last reviewed: · By Victor Humenhuk (AIGP certified)
Harms taxonomy - A list of negative consequences from data leak/misuse; an ontological map breaking harms into constituent components like attacker capacity and opportunity.
In the AIGP body of knowledge, Harms taxonomy comes up under Module 2: AI Impacts & Responsible AI · BoK II.A.
Harms taxonomy in context
- A [[Harms taxonomy]] is a ==list of negative consequences== that could befall a data subject or organisation - an ==ontological map== breaking harms into constituent components. (Harms taxonomies 101)
- The [[Sociotechnical Harms taxonomy]] has five themes; the [[CSET AI Harm Taxonomy]] defines AI harm with ==four elements, all four must be present==; and the [[NIST AI RMF]] defines risk as ==probability × magnitude==. (Three AI harms taxonomies)
Where Harms taxonomy is covered in the AIGP study notes
Test yourself on Harms taxonomy
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