46 citations · 87 across the 4 of their papers we have counts for
4 papers
Can counterfactual explanations of AI systems' predictions skew lay users' causal intuitions about the world? If so, can we correct for that?
Marko Tesic, Ulrike Hahn
Counterfactual (CF) explanations have been employed as one of the modes of explainability in explainable AI-both to increase the transparency of AI systems and to provide recourse.…
BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning
Ann E. Nicholson, Kevin B. Korb, Erik P. Nyberg +13
In many complex, real-world situations, problem solving and decision making require effective reasoning about causation and uncertainty. However, human reasoning in these cases is…
The Temporal Dynamics of Belief-based Updating of Epistemic Trust: Light at the End of the Tunnel?
Momme von Sydow, Christoph Merdes, Ulrike Hahn
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). We then focus…
Where Defaults Don't Help: the Case of the German Plural System
Ramin Charles Nakisa, Ulrike Hahn
The German plural system has become a focal point for conflicting theories of language, both linguistic and cognitive. We present simulation results with three simple classifiers -…