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He, G. (author), Balayn, A.M.A. (author), Buijsman, S.N.R. (author), Yang, J. (author), Gadiraju, Ujwal (author)
With recent advances in explainable artificial intelligence (XAI), researchers have started to pay attention to concept-level explanations, which explain model predictions with a high level of abstraction. However, such explanations may be difficult to digest for laypeople due to the potential knowledge gap and the concomitant cognitive load....
conference paper 2022
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Balayn, A.M.A. (author), He, G. (author), Hu, Andrea (author), Yang, J. (author), Gadiraju, Ujwal (author)
Access to commonsense knowledge is receiving renewed interest for developing neuro-symbolic AI systems, or debugging deep learning models. Little is currently understood about the types of knowledge that can be gathered using existing knowledge elicitation methods. Moreover, these methods fall short of meeting the evolving requirements of...
conference paper 2022