Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
8-2023
Abstract
The rapid development of Generative Artificial Intelligence (GenAI) and the emergence of the Metaverse are dynamically reshaping our lives and societies. GenAI can enhance the development of Metaverse and empower the applications in Metaverse. Metaverse is also an excellent environment for GenAI to demonstrate its power and usefulness. This interwoven relationship fuels the potential of integrating GenAI and Metaverse. The paper discusses the integration potential of GenAI and Metaverse from four aspects. We further investigate how GenAI, Metaverse, and the integration of GenAI and Metaverse can reshape our future across the realms of work, society, and humanity. This paper offers theoretical and practical contributions by proposing research directions and specific research questions. Academic researchers can glean insights for future research and generate novel topics based on our findings. Policymakers, technical experts, and professionals across industries can gain a comprehensive grasp of GenAI and the Metaverse, enhancing their ability to adapt and contribute effectively to this emerging wave of innovation.
Keywords
Generative AI, ChatGPT, Metaverse, Research directions
Discipline
Artificial Intelligence and Robotics
Research Areas
Intelligent Systems and Optimization
Areas of Excellence
Digital transformation
Publication
First International Conference (AIGC 2023), Shanghai, China, August 25–26
First Page
118
Last Page
127
Identifier
10.1007/978-981-99-7587-7_10
Publisher
Springer
City or Country
Cham
Citation
LIU, Yuxin and SIAU, Keng.
Generative artificial intelligence and metaverse: Future of work, future of society, and future of humanity. (2023). First International Conference (AIGC 2023), Shanghai, China, August 25–26. 118-127.
Available at: https://ink.library.smu.edu.sg/sis_research/10860
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/10.1007/978-981-99-7587-7_10