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SCALING THE META-MOUNTAIN: DEEP REINFORCEMENT LEARNING ALGORITHMS AND THE COMPUTER-AUTHORSHIP DEBATE.

Authors :
Weyhofen, Cody
Source :
UMKC Law Review; Summer2019, Vol. 87 Issue 4, p979-996, 18p
Publication Year :
2019

Abstract

The article calls on the U.S. Congress to recognize deep reinforcement learning algorithms (DRLAs) as employees under the works made for hire doctrine of copyright law. Topics discussed include current status of copyright law in the U.S. and discusses how DRLAs challenge two important components of authorship: creativity and the human authorship requirement, as of June 2019; and artificial intelligence and the development of its respective subfields.

Details

Language :
English
ISSN :
00477575
Volume :
87
Issue :
4
Database :
Complementary Index
Journal :
UMKC Law Review
Publication Type :
Academic Journal
Accession number :
136212814