Detailed Information

Cited 0 time in webofscience Cited 1 time in scopus
Metadata Downloads

A COMPARATIVE STUDY OF THE COPYRIGHT LAWS FOR ARTIFICIAL INTELLIGENCE IN THE UK AND KOREAopen access

Authors
Yoon, Byungun
Issue Date
Dec-2022
Publisher
Nicolaus Copernicus University
Keywords
artificial intelligence; catch-up strategy; computer-generated works; copyright; emerging and developing countries; major developed countries
Citation
Comparative Law Review, v.28, pp 281 - 314
Pages
34
Indexed
SCOPUS
Journal Title
Comparative Law Review
Volume
28
Start Page
281
End Page
314
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/21824
DOI
10.12775/CLR.2022.009
ISSN
0866-9449
2391-7644
Abstract
In the new paradigm in which artificial intelligence plays a critical role in operating a social and technological system, copyright laws have many legal issues. In this paper, the copyright laws of two countries (the UK and Korea) are compared to distinguish the characteristics of major developed and emerging countries. In general, whereas major developed countries such as the US and the UK are favourable to the protection of new technology, emerging and developing countries have tried to lower the level of regulation of new technology in order to promote the business related to the new paradigm. In the case of artificial intelligence, the UK has a legal system that can cover work created by means of artificial intelligence, but in contrast, Korea has no copyright law on artificial intelligence, including computer-generated work. Thus, the emerging countries have mitigated the regulations on copyright in order to support the catch-up strategies of their companies. The copyright law on artificial intelligence in emerging and developing countries needs to be designed for fair competition and fair trade. In addition, the duration of protecting work created by means of artificial intelligence should be shortened, because artificial intelligence can produce a lot of work in a very short time. This paper compares several legal precedents in order to compare the cases of copyrights related to artificial intelligence or computer-generated works. © 2022, Nicolaus Copernicus University. All rights reserved.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Industrial and Systems Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Yoon, Byung Un photo

Yoon, Byung Un
College of Engineering (Department of Industrial and Systems Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE