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

TL;DR

This paper systematically reviews stakeholder goals in generative AI to evaluate if fair use practices align with copyright law's promotion of science and arts, identifying research gaps and future directions.

Contribution

It provides a structured analysis of stakeholder perspectives in GenAI and assesses the validity of fair use in advancing legal and ethical objectives.

Findings

Stakeholder goals vary across the GenAI supply chain.

Fair use may support the promotion of science and arts.

Research gaps identified for future legal and policy development.

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.