Artwork

Content provided by Armen Shirvanian. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Armen Shirvanian or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

441: Brian Jabarian | Exploring the Intersection of Economics and AI

1:19:30
 
Share
 

Manage episode 462939720 series 2648868
Content provided by Armen Shirvanian. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Armen Shirvanian or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of The Armen Show, Armen Shirvanian interviews Dr. Brian Jabarian, a fellow at Chicago Booth, who discusses his interdisciplinary research in economics, particularly focusing on the societal impacts of emerging technologies like AI. The conversation explores the connections between economics and philosophy, the importance of critical thinking, and the cognitive processes involved in decision-making.

Dr. Jabarian emphasizes the need for bridging lab research with real-world applications and the significance of understanding the timing and accessibility of technology in society. In this conversation, Brian Jabarian discusses the critical role of data infrastructure in AI deployment, emphasizing the need for organizations to adapt their data culture.

He explores the risks associated with AI deployment, particularly in the context of job interviews, and highlights the importance of critical thinking and storytelling in understanding AI’s impact. Jabarian also addresses the democratization of AI awareness and its potential use cases in scientific research, advocating for an interdisciplinary approach to effectively navigate the complexities of AI and economics.

  continue reading

445 episodes

Artwork
iconShare
 
Manage episode 462939720 series 2648868
Content provided by Armen Shirvanian. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Armen Shirvanian or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of The Armen Show, Armen Shirvanian interviews Dr. Brian Jabarian, a fellow at Chicago Booth, who discusses his interdisciplinary research in economics, particularly focusing on the societal impacts of emerging technologies like AI. The conversation explores the connections between economics and philosophy, the importance of critical thinking, and the cognitive processes involved in decision-making.

Dr. Jabarian emphasizes the need for bridging lab research with real-world applications and the significance of understanding the timing and accessibility of technology in society. In this conversation, Brian Jabarian discusses the critical role of data infrastructure in AI deployment, emphasizing the need for organizations to adapt their data culture.

He explores the risks associated with AI deployment, particularly in the context of job interviews, and highlights the importance of critical thinking and storytelling in understanding AI’s impact. Jabarian also addresses the democratization of AI awareness and its potential use cases in scientific research, advocating for an interdisciplinary approach to effectively navigate the complexities of AI and economics.

  continue reading

445 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide

Listen to this show while you explore
Play