Location
Online
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2023 12:00 AM
End Date
7-1-2023 12:00 AM
Description
The Singapore Government first released its digital government blueprint in 2018 with the key message for all agencies to be "digital to the core and served with heart". With this push, agencies are moving towards human-centric digital services to handle the surge in inquiries from individual citizens. One solution that is widely adopted is the use of chatbot technology that directly interfaces with the customer. However, several organizations have faced backlash from the citizens when such chatbots are unable to answer or give inappropriate answers to the questions. Hence this research explores a different approach to address this challenge using a question answering (QA) system that supports the CSOs to help answer the citizen inquiries more efficiently. This paper shares our preliminary learnings from the implementation of the pilot QA system, the Citizen Question Answering System (CQAS), and proposes areas for future work to enhance QA systems. This research work contributes to the body of artificial intelligence (AI) applied research in a government setting.
Recommended Citation
Lee, Alvina; Venky, Shankararaman; and Eng Lieh, Ouh, "Learnings from Implementing a Pilot Hybrid Question Answering System for a Government Agency in Singapore" (2023). Hawaii International Conference on System Sciences 2023 (HICSS-56). 5.
https://aisel.aisnet.org/hicss-56/dg/emerging_topics_in_e-gov/5
Learnings from Implementing a Pilot Hybrid Question Answering System for a Government Agency in Singapore
Online
The Singapore Government first released its digital government blueprint in 2018 with the key message for all agencies to be "digital to the core and served with heart". With this push, agencies are moving towards human-centric digital services to handle the surge in inquiries from individual citizens. One solution that is widely adopted is the use of chatbot technology that directly interfaces with the customer. However, several organizations have faced backlash from the citizens when such chatbots are unable to answer or give inappropriate answers to the questions. Hence this research explores a different approach to address this challenge using a question answering (QA) system that supports the CSOs to help answer the citizen inquiries more efficiently. This paper shares our preliminary learnings from the implementation of the pilot QA system, the Citizen Question Answering System (CQAS), and proposes areas for future work to enhance QA systems. This research work contributes to the body of artificial intelligence (AI) applied research in a government setting.
https://aisel.aisnet.org/hicss-56/dg/emerging_topics_in_e-gov/5