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Image Analysis Approach to Trademark Congestion and Depletion

Amit Haim, Aniket Kesari

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Is there a limited supply of good image trademarks? Trademark law long rested on the assumption that there is an inexhaustible supply of good marks that provide businesses with sufficient economic advantages to engage in effective branding. However, this conventional wisdom has recently come under scrutiny as evidence has mounted that the number of effective word marks suffers from both depletion of good marks and congestion of similar marks within certain areas. Leveraging new advances in computational social science, we extend this analysis to the study of image marks. We find that there is little evidence for either congestion or depletion in image marks across the most popular areas, but do see some evidence for registered marks being more complex than unregistered marks.

Original languageEnglish
Title of host publication19th International Conference on Artificial Intelligence and Law, ICAIL 2023 - Proceedings of the Conference
Pages402-406
Number of pages5
ISBN (Electronic)9798400701979
DOIs
StatePublished - 19 Jun 2023
Externally publishedYes
Event19th International Conference on Artificial Intelligence and Law, ICAIL 2023 - Braga, Portugal
Duration: 19 Jun 202323 Jun 2023

Publication series

Name19th International Conference on Artificial Intelligence and Law, ICAIL 2023 - Proceedings of the Conference

Conference

Conference19th International Conference on Artificial Intelligence and Law, ICAIL 2023
Country/TerritoryPortugal
CityBraga
Period19/06/2323/06/23

Keywords

  • datasets
  • empirical legal studies
  • image analysis
  • trademarks

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software
  • Law

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