For AI to copy drawings, it makes them less clear by adding noise to them.
It is still being fought to prevent the content of artists from being used to train artificial intelligence without the artists’ consent. The most recent rebuttal comes from IbisPaint, which has announced the launch of an AI Disturbance tool that disrupts the algorithm that generates images for artificial intelligence. Using this function, noise is applied to illustrations, which prevents artificial intelligence from accurately comprehending or recreating the artwork. Another popular choice, Glaze, is a tool that corrupts the data in order to prevent duplicates from being made. However, rather than being integrated into a creative program, Glaze is available as an independent tool.
IbisPaint is a well-liked application that is available for mobile and tablet users. It provides a variety of tools, including over 15,000 brushes, 21,000 materials, and a stroke stabilization feature at its disposal. The image that a user has made in IbisPaint looks to have a grainier appearance when the user activates the AI Disturbance feature. Artists, on the other hand, have the ability to decide the amount of AI Disturbance they desire (depending on the extent to which they are prepared to influence the work) and implement adjustments appropriately. According to the announcement made by IbisPaint, the level of noise intensity indicates the degree to which artificial intelligence-generated images are less similar to the original.
When users click the back button, they are presented with the option to save the artwork, which allows them to use the AI Disturbance tool. When that happens, you will have the opportunity to activate AI Disturbance and modify the level of its intensity. Nevertheless, IbisPaint makes the observation that “the effectiveness of the disturbance effect depends on the artificial intelligence and the fine-tuning algorithms that are used.” There is no assurance that the disruption effect will be obtained in any circumstance, despite the presence of this feature.