Researchers at The University of Texas at Austin have developed what they believe is the first machine unlearning method applied to image-based generative AI. This method offers the ability to look under the hood and actively block and remove any violent images or copyrighted works without losing the rest of the information in the model.
Image-to-image models are the primary focus of this research. They take an input image and transform it — such as creating a sketch, changing a particular scene and more — based on a given context or instruction.
This new machine unlearning algorithm provides the ability of a machine learning model to “forget” or remove content if it is flagged for any reason without the need for retraining the model from scratch. Human teams handle the moderation and removal of content, providing an extra check on the model and ability to respond to user feedback.
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