English

Unlocking Fair Use in the Generative AI Supply Chain: A Systematized Literature Review

Artificial Intelligence 2024-08-02 v1 Computers and Society Machine Learning

Abstract

Through a systematization of generative AI (GenAI) stakeholder goals and expectations, this work seeks to uncover what value different stakeholders see in their contributions to the GenAI supply line. This valuation enables us to understand whether fair use advocated by GenAI companies to train model progresses the copyright law objective of promoting science and arts. While assessing the validity and efficacy of the fair use argument, we uncover research gaps and potential avenues for future works for researchers and policymakers to address.

Keywords

Cite

@article{arxiv.2408.00613,
  title  = {Unlocking Fair Use in the Generative AI Supply Chain: A Systematized Literature Review},
  author = {Amruta Mahuli and Asia Biega},
  journal= {arXiv preprint arXiv:2408.00613},
  year   = {2024}
}