JOURNAL ARTICLE

Computational Antitrust and the Future of Competition Law Enforcement.

  • Published In: GRUR International: Journal of European & International IP Law, 2024, v. 73, n. 10. P. 915 1 of 3

  • Database: Legal Source 2 of 3

  • Authored By: Robertson, Viktoria H S E; Fleiß, Jürgen 3 of 3

Abstract

The text discusses the impact of digitalization on EU competition law and the emergence of computational antitrust tools to enforce competition rules more effectively. It highlights changes in market definition, market power assessment, abuse of dominance, and merger analysis in the digital economy. The text emphasizes the importance of data collection and analysis, the potential of computational antitrust tools, and the need for competition authorities to adapt to new data-driven methods. It also addresses challenges such as algorithmic bias, procedural fairness, and human oversight in utilizing computational antitrust tools. [Extracted from the article]

Additional Information

  • Source:GRUR International: Journal of European & International IP Law. 2024/10, Vol. 73, Issue 10, p915
  • Document Type:Editorial
  • Subject Area:Law
  • Publication Date:2024
  • ISSN:26328550
  • DOI:10.1093/grurint/ikae048
  • Accession Number:180431287
  • Copyright Statement:Copyright of GRUR International: Journal of European & International IP Law is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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