Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
  1. Home
  2. Search

Refine search

Refine search

Access:
Content type:
Publication date:
Apply   From and To filters
Subject: Show more
Journals Show more
Publishers: Show more
Societies Show more
Series: Show more
Collections: Show more

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

1 results

  • 20 - Autonomization and Antitrust

  • from Part VI - Responsible Corporate Governance of AI Systems
  • Edited by Silja Voeneky, Albert-Ludwigs-Universität Freiburg, Germany, Philipp Kellmeyer, Oliver Mueller, Albert-Ludwigs-Universität Freiburg, Germany, Wolfram Burgard, Technische Universität Nürnberg
  • Book:
    The Cambridge Handbook of Responsible Artificial Intelligence
    Published online:
    28 October 2022
    Print publication:
    17 November 2022, pp 347-358
    • Chapter
      • You have access
      • Open access
    • PDF
    • HTML
    • Export citation

  • Summary

    The chapter aims to serve as a conceptual sketch for the intricacies involved in autonomous algorithmic collusion, including the notion of concerted practices for cases that would otherwise elude the cartel prohibition. Stefan Thomas, a law scholar, starts by assessing how algorithms can influence competition in markets before dealing with the traditional criteria of distinction between explicit and tacit collusion, which might reveal a potential gap in the existing legal framework regarding algorithmic collusion. Finally, he analyses whether the existing cartel prohibition can be construed in a way that captures the phenomenon appropriately. This chapter shows how enforcement paradigms that hinge on descriptions of the inner sphere and conduct of human beings may collapse when applied to the effects precipitated by independent AI based computer agents.