An LLM-assisted protocol maps 21 open-source LLM risk mitigation tools to 32 risk subcategories, finding dense technical and operational coverage but sparse governance, legal, and financial coverage.
When ai fails, what works? a data-driven taxonomy of real-world ai risk mitigation strategies,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.SE 1years
2026 1verdicts
CONDITIONAL 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
Taxonomy-Driven Analysis of Open-Source AI Risk Mitigation Tools
An LLM-assisted protocol maps 21 open-source LLM risk mitigation tools to 32 risk subcategories, finding dense technical and operational coverage but sparse governance, legal, and financial coverage.