May 13, 2025
Coker explores how Uber's surge pricing algorithm may enable a new form of antitrust violation: a reverse hub-and-spoke conspiracy, where horizontal collusion among drivers is facilitated by the platform's design. Drawing on historic antitrust principles and modern case law, this article argues for the adaptation of existing antitrust frameworks to account for emerging forms of algorithmic collusion and protect consumer welfare in digital marketplaces.
By LAYTON COKER
April 21, 2025
The paradigm of control has made its way into notions of privacy, predominantly through the concept of notice-and-consent principles. However, per the research conducted by Lev-Aretz and Nielsen, such an approach not only fails to provide meaningful user control over privacy choices, but also imposes a distinct social cost in enhanced perceptions of moral blameworthiness for ordinary consumer behaviors.
By YAFIT LEV-ARETZ & AILEEN NIELSEN
January 31, 2025
With the onset of Artificial Intelligence comes the potential for creative innovation, especially in the field of artwork. However, such a tool also directly threatens the rights of the artists it builds itself upon, and therefore, as argued by Lowell, Congress should pass regulatory legislation that would enable AI to continue on its path to becoming a valuable aid to human imagination, while still respecting the intellectual property rights of artists.
By NATHAN SETH LOWELL
January 15, 2025
While experimentation is an important aspect of Artificial Intelligence regulation, it alone is insufficient. Thus, as Gasser and Mayer- Schönberger argue, a more holistic concept of regulatory learning is needed, and it must consist of inter-jurisdictional setups that enable mutual learning and regulatory innovation in order to find the most appropriate response to the novel challenges posed by AI.
By URS GASSER & VIKTOR MAYER-SCHÖNBERGER
