On the Carrot and the Stick That Unfair Competition Law Can Offer to AI-Based Work-Like Output

Abstract Output based on artificial intelligence (AI) has been the subject of animated debate in recent years. This article focuses on one facet of these discussions, namely the search for a legal framework for AI-based work-like output. Amid ongoing debates over whether copyright law or alternative (IP) regimes should reward or incentivise AI-based work-like output, it approaches the issue of a legal framework from the perspective of addressing the risks and challenges associated with such outcomes. Rather than advocating changes to current frameworks or the introduction of new ones, the article explores the prospects offered by existing law. In this vein, it turns its attention to the seemingly overlooked or underexplored possibility of leveraging the potential of unfair competition law, regarded here as encompassing both business-to-business and business-to-consumer commercial relations. The article traces the reasoning behind considering unfair competition law for AI-based work-like outcomes and provides a brief overview of its general characteristics, alongside the perspectives and challenges of applying it to such outcomes. It then moves on to examine protection against slavish imitation as a ‘carrot’ and provisions on misleading practices as a ‘stick’ for AI-based work-like output. The article concludes that, with caution and careful assessment of compliance with the requirements, these unfair competition law frameworks can be applied to such output. However, it also acknowledges that some cases will fall outside the scope of these frameworks. This suggests that addressing the challenges posed by AI-based work-like output may require the support of other solutions.

Authors

Publication Details

Journal
GRUR International
Published
2025-07-26
DOI
https://doi.org/10.1093/grurint/ikaf098
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the Carrot and the Stick That Unfair Competition Law Can Offer to AI-Based Work-Like Output

Kateryna Militsyna
GRUR International
Digital Economy and Work Transformation
article

On the Carrot and the Stick That Unfair Competition Law Can Offer to AI-Based Work-Like Output

Kateryna Militsyna
article en

Abstract

Abstract Output based on artificial intelligence (AI) has been the subject of animated debate in recent years. This article focuses on one facet of these discussions, namely the search for a legal framework for AI-based work-like output. Amid ongoing debates over whether copyright law or alternative (IP) regimes should reward or incentivise AI-based work-like output, it approaches the issue of a legal framework from the perspective of addressing the risks and challenges associated with such outcomes. Rather than advocating changes to current frameworks or the introduction of new ones, the article explores the prospects offered by existing law. In this vein, it turns its attention to the seemingly overlooked or underexplored possibility of leveraging the potential of unfair competition law, regarded here as encompassing both business-to-business and business-to-consumer commercial relations. The article traces the reasoning behind considering unfair competition law for AI-based work-like outcomes and provides a brief overview of its general characteristics, alongside the perspectives and challenges of applying it to such outcomes. It then moves on to examine protection against slavish imitation as a ‘carrot’ and provisions on misleading practices as a ‘stick’ for AI-based work-like output. The article concludes that, with caution and careful assessment of compliance with the requirements, these unfair competition law frameworks can be applied to such output. However, it also acknowledges that some cases will fall outside the scope of these frameworks. This suggests that addressing the challenges posed by AI-based work-like output may require the support of other solutions.

GRUR InternationalVol. 74(9)
Openalex Percentile: Top 75%
Digital Economy and Work Transformation
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.

On the Carrot and the Stick That Unfair Competition Law Can Offer to AI-Based Work-Like Output — Kateryna Militsyna · GRUR International (2025) | TGRS Research Map | TGRS