Stanford Computational Antitrust cover image

Episode 1: Gleaning Insight from Antitrust Cases Using Machine Learning (Massarotto & Ittoo)

Stanford Computational Antitrust

00:00

The Future of Computational Antitrust

I think humans are best at doing that than machines so to conclude it's a tall order for the algorithm to go by itself out in the wild out there to automate the entire pipeline by itself some parts of it yes but whatever you need domain knowledge then that gets a bit more complicated. I believe honestly that there is a compelling requirement to keep antitrust agencies with the appropriate tool such as computational tools AI techniques to enforce antitrust principle in today's and future fast-moving technological environment because we have to think that antitrust agencies are dealing with a very dynamic increasingly dynamic and sophisticated markets. No one will take back the archive of the computational antitrust podcast to prove that you were wrong so please try your best knowing that

Transcript
Play full episode

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
App store bannerPlay store banner
Get the app