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AuthorTabassum, Aliya
AuthorElmahjub, Ezieddin
AuthorQadir, Junaid
Available date2024-01-21T06:53:44Z
Publication Date2023-01-01
Publication Name2023 International Symposium on Networks, Computers and Communications, ISNCC 2023
Identifierhttp://dx.doi.org/10.1109/ISNCC58260.2023.10323912
CitationA. Tabassum, E. Elmahjub and J. Qadir, "Pathway to Prosocial AI-XR Metaverses: A Synergy of Technical and Regulatory Approaches," 2023 International Symposium on Networks, Computers and Communications (ISNCC), Doha, Qatar, 2023, pp. 1-8, doi: 10.1109/ISNCC58260.2023.10323912.
ISBN9798350335590
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85179849433&origin=inward
URIhttp://hdl.handle.net/10576/50931
AbstractAI-XR metaverses leverage artificial intelligence (AI) and extended reality (XR) technology to create immersive environments that replicate and enhance the real world. The transformative impact of the metaverse as an advanced AI-XR platform is widely recognized in the realms of learning, economics, and social activities. However, integrating the meta-verse into our daily lives raises significant ethical and legal challenges. This paper provides a comprehensive examination of associated risks, including privacy and copyright violation, behavior modification, and surveillance. It explores existing methodologies and promising solutions to address these issues while identifying avenues for further research. In conclusion, the paper summarizes key findings and observations, underscoring the importance of a synergistic approach that combines technical and regulatory measures to safeguard the ethical and legal rights of users and co-creators, promoting the development of prosocial AI-XR metaverses.
SponsorThe authors would like to acknowledge support from Qatar University High Impact Internal Grant QUHI-CENG23/24-127.
Languageen
PublisherIEEE
SubjectAI Act
ethics
extended reality
GDPR
law
metaverse
regulation
virtual reality
TitlePathway to Prosocial AI-XR Metaverses: A Synergy of Technical and Regulatory Approaches
TypeConference Paper
dc.accessType Abstract Only


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