Intellectual property, artificial intelligence and contract law: are there any intersections and fruitful collaborations between these areas?

The article contains an analysis of the two main questions regarding AI and IP law: how shall input data used to train AI-systems and how should output results generated by these systems be protected by IP law? In the context of this analysis particular attention is paid on the role of contractual mechanisms used by private parties to resolve these issues in practice. It is concluded that in the situation of doctrinal and legislative conundrum contracts are often used by AI-operators (developers), AI-users, and rightsholders owning input training data to attribute IP rights to certain persons and to protect these rights. However, contractual mechanisms may not always be a good option. Regarding the issue of IP protection of input data contracts (in particular, licensing agreements) may be a helpful tool to get a permission to use data for AI training purposes and to address other related issues. Meanwhile, considering IP protection of AI generated outputs contracts usually serve as a means to monopolize these outputs by AI-operators and developers with no appropriate justification for this monopolization.

Authors

Institutions

Publication Details

Journal
Visegrad Journal on Human Rights
Published
2025-03-30
DOI
https://doi.org/10.61345/1339-7915.2024.6.5
Primary Topic
Law, AI, and Intellectual Property
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intellectual property, artificial intelligence and contract law: are there any intersections and fruitful collaborations between these areas?

Nataliia Filatova-Bilous
Visegrad Journal on Human Rights
Law, AI, and Intellectual Property
article

Intellectual property, artificial intelligence and contract law: are there any intersections and fruitful collaborations between these areas?

Nataliia Filatova-Bilous
article en

Abstract

The article contains an analysis of the two main questions regarding AI and IP law: how shall input data used to train AI-systems and how should output results generated by these systems be protected by IP law? In the context of this analysis particular attention is paid on the role of contractual mechanisms used by private parties to resolve these issues in practice. It is concluded that in the situation of doctrinal and legislative conundrum contracts are often used by AI-operators (developers), AI-users, and rightsholders owning input training data to attribute IP rights to certain persons and to protect these rights. However, contractual mechanisms may not always be a good option. Regarding the issue of IP protection of input data contracts (in particular, licensing agreements) may be a helpful tool to get a permission to use data for AI training purposes and to address other related issues. Meanwhile, considering IP protection of AI generated outputs contracts usually serve as a means to monopolize these outputs by AI-operators and developers with no appropriate justification for this monopolization.

Visegrad Journal on Human Rights(6)
Yaroslav Mudryi National Law University (UA)
Openalex Percentile: Top 97%
Law, AI, and Intellectual Property
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Intellectual property, artificial intelligence and contract law: are there any intersections and fruitful collaborations between these areas? — Nataliia Filatova-Bilous · Visegrad Journal on Human Rights (2025) | TGRS Research Map | TGRS