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Causal Reasoning Transparency(CRT)
Make causal reasoning chains explicit and understandable
In 30 seconds
- What
- Explicitly maps cause-effect relationships with strength scores, identifies confounders, and predicts intervention effects to make reasoning auditable.
- When to use
- High-stakes decisions where stakeholders need to verify the agent's logic chain and understand which factors drove each conclusion.
- Watch out
- Causal strength scores and confounding factor lists can feel rigorous but remain subjective; users may over-trust numbers without validating assumptions.
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Causal Reasoning Transparency: Overview
Make causal reasoning chains explicit and understandable
- Causal chain visualization
- Cause-effect relationship mapping
- Confounding factor identification
- Intervention effect prediction
- Causal strength quantification
- Assumption transparency
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References
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