English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Paper

Artificial Intelligence and Unfair Competition – Unveiling an Underestimated Building Block of the AI Regulation Landscape

MPS-Authors
/persons/resource/persons241874

Scheuerer,  Stefan
Max Planck Institute for Innovation and Competition, Max Planck Society;

External Ressource
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Scheuerer, S. (2020). Artificial Intelligence and Unfair Competition – Unveiling an Underestimated Building Block of the AI Regulation Landscape. Max Planck Institute for Innovation & Competition Research Paper, No. 20-21.


Cite as: http://hdl.handle.net/21.11116/0000-0007-9711-B
Abstract
The article illustrates the underestimated role unfair competition law (UCL) can play as a building block of the regulatory landscape relating to Artificial Intelligence (AI). To this end, it examines to what extent overarching prominent principles of AI regulation such as Fairness, Transparency, Autonomy or Innovation are reflected in paradigms of UCL and on this basis evaluates how the latter can contribute to the realization of the former. In this course, prominent problems raised by AI that are commonly discussed under different legal regimes are reconsidered under a UCL perspective, showing that this perspective may both complement or even substitute traditional regulatory approaches. Finally, the article indicates how AI could inversely give impulses for the doctrinal advancement of UCL as a still ambiguous and insufficiently understood body of law.