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The **transformative use** argument is a key component of the fair use analysis. It centers on whether the new work adds something new, with a further purpose or different character, and transforms the original work with new expression, meaning, or message. When it comes to AI, the argument is that AI models learn from the data they are trained on but create something different – new works that don't simply replicate the original content. If the AI-generated work is sufficiently transformative, it's more likely to be considered fair use. However, the degree of transformation is a matter of debate. The mere fact that an AI uses copyrighted material in its training data doesn't automatically mean that the resulting output is transformative. The courts will analyze the specific facts of each case, considering factors such as the nature of the AI's training data, the similarity between the AI-generated output and the original works, and the purpose of the AI. As AI technology advances, the potential for transformative uses will also evolve. We can expect to see new and innovative applications of AI that push the boundaries of copyright law and fair use. This is where **AI and creativity** comes into play.
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