【 The Digital Star Seminar Series No.21 】The Effects of AI-Based Detection on Misbehaviors: Empirical Evidence from AIPark
【 The Digital Star Seminar Series No.21 】The Effects of AI-Based Detection on Misbehaviors: Empirical Evidence from AIPark

10 Jun 2022 (Fri)
9:00 am - 10:30 am (Hong Kong Time UTC+8)
Online
Guangyu Cao, Postdoctoral Fellow of Princeton University

【 The Digital Star Seminar Series No.21 】The Effects of AI-Based Detection on Misbehaviors: Empirical Evidence from AIPark


Date: 10 Jun 2022 (Fri) 
Time: 9:00am - 10:30am (Hong Kong Time, UTC+8)
Platform: Tencent Meeting (ID 445-328-005)


Host: Prof. Miaojun Wang (School of Economics, Zhejiang University)


Presenter: Dr. Guangyu Cao (Postdoctoral Fellow of Princeton University)

 



Abstract:


Though it is well known that AI could facilitate production activities in private sectors, studies regarding the role of AI in public administration remain scant. In this paper, we utilize data from AIPark, one of the leading companies in the industry of smart parking, and empirically investigate how AI-based detection affects misbehaviors exemplified by illegal parking. Employing the staggered activation of monitoring cameras by traffic police, we construct a DID model and find that AI-based detection has effectively reduced the number of illegal parking by about 6% (or 4%, as implied by a parallel RDD model). Further analyses show that (i) the AI-based detection has also improved the efficiency of parking facilities; (ii) the treatment effect is stronger for drivers of less expensive cars; (iii) local drivers respond more sensitively to the enhanced regulation; (iv) the treatment effect is weaker during peak hours when demand for parking is less elastic; (iv) regular commuters seem to be less affected by the AI-based regulation.

 



Intro to the Presenter:


Guangyu Cao is a postdoctoral researcher at the Center on Contemporary China at Princeton University and a doctor of economics at the Guanghua School of Management, Peking University. His research fields are digital economy and public economics. His research results were published in RAND Journal of economics, Economic Research Journal and other journals.

 



Organization:


- The Chinese University of Hong Kong-Zhejiang University Joint Research Center for Digital Economy


- China Digital Economy Research Center of School of Economics, Zhejiang University


- Zhejiang University Digital Economy Innovation Research Team

 


 

Intro to The Digital Star Seminar Series:


The Digital Star Seminar Series is co-hosted by the China Digital Economy Research Center of School of Economics, Zhejiang University, and the Chinese University of Hong Kong-Zhejiang University Joint Research Center for Digital Economy. This series of seminars will study the development of the digital economy and China's economic transformation based on the practice of China's digital transformation. We will invite domestic and overseas scholars to share and discuss the latest research on the digital economy and the Chinese economy. We hope that this academic platform can become a paradise for the study of the digital economy. More importantly, it can generate insights that significantly impact the digital economy and Chinese economy, which will help promote digital transformation and high-quality economic development in Chinese society.