Document Type
Article
Publication Date
Winter 2020
Abstract
Artificial intelligence is becoming increasingly complex, and provides examples of compelling, human-like performances. One such artificial intelligence technology is known as Creative Adversarial Network (“CAN”) technology, which relies on inputs of preexisting pieces of art to create pieces of original art that pass as human-made. Whether the coders responsible for CAN-technology should be granted coverage for the resultant art remains an open question in United States jurisprudence. This paper seeks to explore why, given both software’s historical legacy in copyright law and bedrock copyright justifications, extending copyright coverage to the coders responsible for CAN technology would be a grave misstep in copyright policy.
Recommended Citation
Svedman, Megan
(2020)
"Artificial Creativity: A Case Against Copyright for AI-Created Visual Artwork,"
IP Theory: Vol. 9:
Iss.
1, Article 4.
Available at:
https://www.repository.law.indiana.edu/ipt/vol9/iss1/4
