930 citations · 1.6k across the 17 of their papers we have counts for
5 papers · 1 filter
Prompt-Counterfactual Explanations for Generative AI System Behavior
Sofie Goethals, Foster Provost, João Sedoc
As generative AI systems become integrated into real-world applications, organizations increasingly need to be able to understand and interpret their behavior. In particular, decis…
Beware of "Explanations" of AI
David Martens, Galit Shmueli, Theodoros Evgeniou +14
Understanding the decisions made and actions taken by increasingly complex AI system remains a key challenge. This has led to an expanding field of research in explainable artifici…
Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach
Carlos Fernández-Loría, Foster Provost, Xintian Han
We examine counterfactual explanations for explaining the decisions made by model-based AI systems. The counterfactual approach we consider defines an explanation as a set of the s…
Applications of Data Mining to Electronic Commerce
Ron Kohavi, Foster Provost
Electronic commerce is emerging as the killer domain for data mining technology. The following are five desiderata for success. Seldom are they they all present in one data mining…
Robust Classification for Imprecise Environments
Foster Provost, Tom Fawcett
In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building ro…