Summary of Unlocking Fair Use in the Generative Ai Supply Chain: a Systematized Literature Review, by Amruta Mahuli et al.
Unlocking Fair Use in the Generative AI Supply Chain: A Systematized Literature Review
by Amruta Mahuli, Asia Biega
First submitted to arxiv on: 1 Aug 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computers and Society (cs.CY); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In this study, researchers investigate the value that various stakeholders place on their contributions to the generative AI (GenAI) ecosystem. By understanding these values, they aim to determine whether GenAI companies’ use of fair use in training models aligns with copyright law’s goals of promoting science and arts. The authors analyze the validity and effectiveness of this fair use argument, identifying research gaps and potential avenues for future study. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps us understand what different people want from their involvement in generative AI (AI that creates new things). It’s like asking, “What do people get out of helping make AI better?” The researchers look at how companies use a special rule called fair use to train their AI models. They want to know if this rule is helping or hurting the goals of copyright law, which is meant to encourage scientific progress and artistic creation. |
