Princeton AI Tool Will Help Data Set Builders, Users Resolve Image Biases

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PRINCETON, N.J., Oct. 5, 2020 — A team of computer scientists at Princeton University’s Visual AI Lab has developed a method to detect biases in sets of images and visual patterns. The method relies on an open-source tool to flag potential and clearly existing biases in images that are used to train AI systems, such as those that enable automated credit services and courtroom sentencing programs. The tool specifically allows data set creators and users to correct issues of visual underrepresentation or stereotypical portrayals before image collections are used to train computer vision models. Engineers use...Read full article

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    Published: October 2020
    1. To influence to a single direction. 2. Voltage that is applied to a solid-state device.
    computer visionAIAmericasPrincetonResearch & Technology3D visionSoftwareNSFbias

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