Jeremy E Block

schoolUniversity of Floridabar_chart#9979 Global Rank

Total Papers

HCI Rank

#9979

Research Areas

Years Active

Recent Publications

Quantitative Evaluation of Machine Learning Explanations: A Human-Grounded Benchmark

Research in interpretable machine learning proposes different approaches to evaluate model saliency or attribution explanations. These approaches measure different qualities of explanations to achieve divers goals in designing interpretable machine learning systems. In this paper, we propose an online available human…

IUI '213rd AuthorExplainable AI (XAI) +1

Anchoring Bias Affects Mental Model Formation and User Reliance in Explainable AI Systems

EXplainable Artificial Intelligence (XAI) approaches are used to bring transparency to machine learning and artificial intelligence models, and hence, improve the decision-making process for their end-users. While these methods aim to improve human understanding and thier mental models, cognitive biases can still infl…

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