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Found 4 papers, 2 papers with code
Counterfactual harm
To act safely and ethically in the real world, agents must be able to reason about harm and avoid harmful actions.
Leveraging directed causal discovery to detect latent common causes
Here, we devise a general heuristic which takes a causal discovery algorithm that can only distinguish purely directed causal relations and modifies it to also detect latent common causes.
MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming
We elaborate on using importance sampling for causal reasoning, in particular for counterfactual inference.
Counterfactual diagnosis
We show that this approach is closer to the diagnostic reasoning of clinicians and significantly improves the accuracy and safety of the resulting diagnoses.
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