@inproceedings{6da3a19b8a5f459cb8323cfb96a2cf1c,
title = "Generative Artificial Intelligence and Metaverse: Future of Work, Future of Society, and Future of Humanity",
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. {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.",
keywords = "ChatGPT, Generative AI, Metaverse, Research directions",
author = "Yuxin Liu and Siau, {Keng L.}",
note = "Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).; 1st International Conference on AI-generated Content (AIGC 2023) ; Conference date: 25-08-2023 Through 26-08-2023",
year = "2024",
doi = "10.1007/978-981-99-7587-7_10",
language = "English",
isbn = "978-981-99-7586-0",
series = "Communications in Computer and Information Science",
publisher = "Springer ",
pages = "118--127",
editor = "Feng Zhao and Duoqian Miao",
booktitle = "AI-generated Content",
}
