Decoding Algorithmic Collusion
This panel will discuss developments in judicial proceedings, legislative actions within Congress, and enforcement priorities related to algorithmic collusion, while examining whether the existing antitrust laws are adequate in addressing the complexities of algorithmic collusion.
Start Date:
- July 24, 2024
Start Time:
- 11:00 AM
End Time:
- 12:00 PM
Region:
- Virtual Participation
- Antonio Capobianco, OECD
- Dina Srinivasan, Researcher and Fellow with the Thurman Arnold Project at Yale University
- Elizabeth Taras, Moderator, NEWS CORP
- John Thorne, Kellogg, Hansen, Todd, Figel & Frederick, PLLC
Format:
- Webinar
Product Code:
- ANTI72424
Section Member Price:
Free
NYSBA Member Price:
Free
Join (or renew) for special member pricing
Non-Member Price:
$25.00
Sponsoring Committee Group
- Antitrust Law Section
- Monopolization and Big Tech Committee
