TY - JOUR
T1 - Developing Artificial Intelligence-Based Content Creation
T2 - Are EU Copyright and Antitrust Law Fit for Purpose?
AU - Vesala, Juha
N1 - Funding Information:
This research has in part been carried out as part of a research project at the University of Helsinki, Faculty of Law (PI professor Taina Pihlajarinne) that received funding from the private, non-profit Helsingin Sanomat Foundation.
Publisher Copyright:
© 2023, The Author(s).
PY - 2023/3
Y1 - 2023/3
N2 - Artificial intelligence offers promising applications for content production. However, their development faces significant copyright issues because it involves reproduction of protected subject matter and requires datasets so large that obtaining licences from all rightholders is unfeasible. These issues potentially hinder technological development and content production. On the other hand, some AI applications can threaten the interests and incentives of those who create works and subject matter that are protected by related rights. This article examines whether EU copyright and antitrust law are capable of addressing these challenges. It identifies possibilities and obstacles in applying exceptions for text and data mining (TDM) and temporary copying to the development of artificial creativity (AC) applications. The article also examines mechanisms by which EU antitrust law facilitates access to copyright-protected training materials and licences – an important complement to the copyright exceptions. While copyright and antitrust law enable the development of AC in certain situations, their tools are limited to particular types of AI applications, certain categories of subject matter and specific market conditions, and are subject to requirements concerning the development process as well as considerable legal uncertainty. Copyright and antitrust law also remain largely toothless against contractual and technological restraints, while recent EU initiatives dealing with data access also provide little relief in this regard.
AB - Artificial intelligence offers promising applications for content production. However, their development faces significant copyright issues because it involves reproduction of protected subject matter and requires datasets so large that obtaining licences from all rightholders is unfeasible. These issues potentially hinder technological development and content production. On the other hand, some AI applications can threaten the interests and incentives of those who create works and subject matter that are protected by related rights. This article examines whether EU copyright and antitrust law are capable of addressing these challenges. It identifies possibilities and obstacles in applying exceptions for text and data mining (TDM) and temporary copying to the development of artificial creativity (AC) applications. The article also examines mechanisms by which EU antitrust law facilitates access to copyright-protected training materials and licences – an important complement to the copyright exceptions. While copyright and antitrust law enable the development of AC in certain situations, their tools are limited to particular types of AI applications, certain categories of subject matter and specific market conditions, and are subject to requirements concerning the development process as well as considerable legal uncertainty. Copyright and antitrust law also remain largely toothless against contractual and technological restraints, while recent EU initiatives dealing with data access also provide little relief in this regard.
KW - 513 Law
KW - Artificial intelligence
KW - Competition law
KW - Copyright
KW - Data
KW - Exceptions
UR - http://www.scopus.com/inward/record.url?scp=85149986984&partnerID=8YFLogxK
U2 - 10.1007/s40319-023-01301-2
DO - 10.1007/s40319-023-01301-2
M3 - Article
AN - SCOPUS:85149986984
SN - 0018-9855
VL - 54
SP - 351
EP - 380
JO - IIC International Review of Intellectual Property and Competition Law
JF - IIC International Review of Intellectual Property and Competition Law
IS - 3
ER -