Template-type: ReDIF-Paper 1.0
Author-Name: Gaétan de Rassenfosse
Author-Workplace-Name: Ecole polytechnique federale de Lausanne
Author-Homepage: http://www.gder.info
Author-Name: Adam Jaffe
Author-Workplace-Name: Brandeis University
Author-Name: Joal Waldfogel
Author-Workplace-Name: University of Minnesota
Title: Intellectual Property and Creative Machines
Abstract: The arrival of creative machines—software capable of producing human-like creative content—has triggered a series of legal challenges about intellectual property. The outcome of these legal challenges will shape the future of the creative industry in ways that could enhance or jeopardize welfare. Policymakers are already tasked with creating regulations for a post-generative AI creative industry. Economics may offer valuable insights, and this paper is our attempt to contribute to the discussion. We identify the main economic issues and propose a framework and some tools for thinking about them. 
Classification-JEL: O34; K20
Keywords: generative AI; machine learning; copyright; fair use
Length: 27 pages
Creation-Date: 2024-06
File-URL:  https://cdm-repec.epfl.ch/iip-wpaper/WP27.pdf
File-Format: application/pdf
Handle:  RePEc:iip:wpaper:27