Experimental chatbot for accelerated digital transformation in public institutions

Abstract

For a large number of citizens dealing with public authorities can feel like a harrowing experience. With a large amount of bureaucracy and ever-changing rules and procedures, it can be quite confusing for people to achieve their goals. The aim of this paper is to prove that a chatbot can be trained with minimal coding experience, by having a robust dataset created by people with domain-specific knowledge. This would empower every public institution to customise a helper chatbot. This chatbot would not only provide common information about required documents for whatever needs to be done, but also more general information pertaining to the specific aspects of that institution, such as its location, how to get to it, or public transportation connections nearby. The aim is to provide the necessary steps so that any public institution willing to undertake this digital transformation step can do so without much outside help or technical know-how in the field of Artificial Intelligence.

Keywords

• metaverse
• artificial intelligence
• large language model (llm)
• digital transformation