Formalizing Causal Pathways for Rare Events in AI
A recent publication on arXiv presents a formal definition of causal pathways related to rare events, expanding on previous research in root cause analysis for outliers within structural equation models. The authors delineate specific conditions where testable implications rely solely on a causal abstraction defined by the pathway, instead of the entire causal graph. They also propose an abstraction that connects straightforward verbal descriptions with comprehensive causal modeling.
Key facts
- Paper submitted to arXiv (Computer Science > Artificial Intelligence)
- Proposes formal definition of causal pathway for rare events
- Builds on recent formalizations of root cause analysis for outliers
- Identifies conditions for abstraction from full causal graph
- Bridges verbal explanations and detailed causal modeling
Entities
Institutions
- arXiv