원문정보
초록
영어
This study would investigate the generative AIs currently in service in the era of hyperscale AIs and explore measures for the use of generative AIs, focusing on ‘ChatGPT,’ which has received attention as a leader of generative AIs. Among the various generative AIs, this study selected ChatGPT, which has rich application cases to conduct research, investigation, and use. This study investigated the concept, learning principle, and features of ChatGPT, identified the algorithm of conversational AI as one of the specific cases and checked how it is used. In addition, by comparing various cases of the application of conversational AIs such as Google’s Bard and MS’s NewBing, this study sought efficient ways to utilize them through the collected cases and conducted research on the limitations of conversational AI and precautions for its use. If connected to city-related databases, it can provide information on city infrastructure, transportation systems, and public services, so residents can easily get the information they need. We want to apply this research to enrich the lives of our citizens.
목차
1. Introduction
2. Main Text: Theoretical Background
2.2 The Concept and Learning Principle of Generative AI ChatGPT
3. Generative AI: Features and Application Cases of ChatGPT
3.1 Positive use for socially marginalized groups
3.2 Examples of negative issues such as confidentiality leaks
4. The Use of Generative ChatGPT-type AI to Improve Citizens’ Lives
4.1 Application in the field of urban systems engineering utilizing generative AI
4.2 Pros and Cons of ChatGPT in Urban Systems Engineering
5. Conclusion
References