ERROR-BASED EXPLANATIONS FOR ARTIFICIAL INTELLIGENCE BEHAVIOR

    公开(公告)号:US20240005654A1

    公开(公告)日:2024-01-04

    申请号:US17656391

    申请日:2022-03-24

    CPC classification number: G06V10/98 G06T11/001 G06V10/776 G06V10/7715

    Abstract: A computing system comprising a memory configured to store an artificial intelligence (AI) model and an image, and a computation engine executing one or more processors may be configured to perform the techniques for error-based explanations for AI behavior. The computation engine may execute the AI model to analyze the image to output a result. The AI model may, when analyzing the image to output the result, process, based on data indicative of the result, the image to assign an error score to each image feature extracted from the image, and obtain, based on the error scores, an error map. The AI model may next update, based on the error map and to obtain a first updated image, the image to visually indicate the error score assigned to each of the image features, and output one or more of the error scores, the error map, and the first updated image.

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