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Found 3 papers, 1 papers with code
Can counterfactual explanations of AI systems' predictions skew lay users' causal intuitions about the world? If so, can we correct for that?
We found that pointing out that AI systems capture correlations and not necessarily causal relationships can attenuate the effects of CF explanations on people's causal beliefs.
BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning
In many complex, real-world situations, problem solving and decision making require effective reasoning about causation and uncertainty.
The Temporal Dynamics of Belief-based Updating of Epistemic Trust: Light at the End of the Tunnel?
We start with the distinction of outcome- and belief-based Bayesian models of the sequential update of agents' beliefs and subjective reliability of sources (trust).
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