EVENTS & SEMINARS

Division of public policy

In Search of the Optimal Integration of AI Technology into the Public Sector: Studies of Public Trust in AI-Driven Public Services

Prof. Naomi AOKI

Associate Professor, Graduate School of Public Policy, University of Tokyo, Japan

  • Date : 4 Mar 2021 (Thursday)
  • Time : 16:30 - 18:00 (HKT)
  • Venue : Zoom
  • Organizer : Jointly organized by the Division of Public Policy (PPOL) and Center for Artificial Intelligence Research (CAiRE)
DETAILS

ABSTRACT

Artificial intelligence (AI) technologies are transforming the way public services are delivered to citizens. Amidst the recent hype about AI, this seminar delves into the question of how to transition to a good AI society, where people trust AI-powered public services and are willing to use them. The speaker will share findings from her two empirical studies on the public’s initial trust in the use of AI in public services – one on the use of an AI decision aid in nursing care planning and the other on what are called “AI-driven” chatbots, used to answer citizen enquiries in lieu of municipal officials. Both studies were inspired by ergonomics studies of human-machine relations and are based on online experiments conducted in Japan. The findings show that certain pieces of information about the use of AI, when communicated to the public, make a difference in their initial trust.

 

Click HERE to download the e-Poster.

About the Speaker

Prof. Naomi AOKI
Associate Professor, Graduate School of Public Policy, University of Tokyo, Japan

Professor Naomi AOKI is an academic specializing in public administration and management. She is currently an associate professor in the Graduate School of Public Policy at the University of Tokyo, Japan, and was formerly an assistant professor at the National University of Singapore. She is a graduate of the Maxwell School of Citizenship and Public Affairs at Syracuse University (PhD in Public Administration, 2010) and the Johns Hopkins University’s School of Advanced International Studies (MA, 2003).

For attendees' attention

The lecture is free and open to all.Seating is on a first come, first served basis.

ENQUIRY

Division of Public Policy (PPOL)

Email: ppol@ust.hk