Focus! Rating XAI Methods and Finding Biases
Focus! Rating XAI Methods and Finding Biases
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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AI explainability improves the transparency of models, making them more trustworthy. Such goals are motivated by the emergence of deep learning models, which are obscure by nature; even in the domain of images, where deep learning has succeeded the most, explainability is still poorly assessed. In the field of image recognition many feature attribu...
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Focus! Rating XAI Methods and Finding Biases
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TN_cdi_proquest_journals_2578269579
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2578269579
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2331-8422
