2 Matching Annotations
- May 2024
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media.dltj.org media.dltj.org
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why training artificial intelligence in research context is and should continue to be a fair use
Examination of AI training relative to the four factors of fair use
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- Jul 2023
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arxiv.org arxiv.org
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AI-generated content may also feed future generative models, creating a self-referentialaesthetic flywheel that could perpetuate AI-driven cultural norms. This flywheel may in turnreinforce generative AI’s aesthetics, as well as the biases these models exhibit.
AI bias becomes self-reinforcing
Does this point to a need for more diversity in AI companies? Different aesthetic/training choices leads to opportunities for more diverse output. To say nothing of identifying and segregating AI-generated output from being used i the training data of subsequent models.
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