Faireness in Deep Learning

Fairness in Imaging with Deep Learning

In the summer of 2020, a deep learning generative model with groundbreaking performance was posted on the web. The model could turn low-resolution images to high-quality photos. A user uploaded a low-resolution image of President Obama, to obtain an image that is now called ‘White Obama’. This is a startling display of bias in AI imaging algorithms: The deep learning model was reconstructing images with predominantly white features and a heated debate arose across Twitter and other social media: Was the source of the problem the bias in the training data, or in the reconstruction algorithm, and how could we fix it?

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