The paper describes an IBM proof-of-concept system that combines a knowledge graph and LLM pipelines to convert a use-case description into prioritized risks, model choices, benchmarks, and mitigation actions.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Usage Governance Advisor: From Intent to AI Governance
The paper describes an IBM proof-of-concept system that combines a knowledge graph and LLM pipelines to convert a use-case description into prioritized risks, model choices, benchmarks, and mitigation actions.