Publication Type
Journal Article
Version
publishedVersion
Publication Date
7-2023
Abstract
Artificial intelligence (AI) has elicited much attention across disciplines and industries (Hyder et al., Citation2019). AI has been defined as “a system’s ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation” (Kaplan & Haenlein, Citation2019, p. 15). AI has gone through several development stages and AI winters. In the first two decades (i.e., 1950s and 1960s), AI demonstrated success which included programs such as General Problem Solver (Newell et al., Citation1959) and ELIZA (Weizenbaum, Citation1966). However, limitations in processing capacity and reduced spending on AI turned its development into stagnation. In recent years, AI has made a comeback with the introduction of AlphaGo in 2015 and ChatGPT in 2022. Following the release of the application named “Chat Generative Pre-trained Transformer” or ChatGPT by OpenAI in late 2022, AI has attracted worldwide attention.
Discipline
Artificial Intelligence and Robotics | Databases and Information Systems
Research Areas
Data Science and Engineering
Publication
Journal of Information Technology Case and Application Research
Volume
25
Issue
3
First Page
277
Last Page
304
ISSN
1522-8053
Identifier
10.1080/15228053.2023.2233814
Publisher
Taylor and Francis Group
Citation
NAH, Fiona; ZHENG, Ruilin; CAI, Jingyuan; SIAU, Keng; and CHEN, Langtao.
Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration. (2023). Journal of Information Technology Case and Application Research. 25, (3), 277-304.
Available at: https://ink.library.smu.edu.sg/sis_research/9528
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1080/15228053.2023.2233814