Generative AI in Multimedia: Challenges and Opportunities for Academic and Industrial Impact
Generative AI has revolutionized multimedia, leading to groundbreaking developments in content creation, interactive experiences, and personalized media. This panel delves into the transformative potential of generative AI in academic and industrial sectors, exploring its future applications and connections to emerging techniques. Additionally, the panel will address newly identified opportunities and challenges from both technical and ethical perspectives, highlighting the importance of responsible AI development. Bringing together leading experts from universities, research institutions, and industry, this panel aims to foster discussion and debate among participants. We invite everyone to join and contribute to this critical and promising area of research in the multimedia community.
Authors
- Zi Huang (ORCID: https://orcid.org/0000-0002-9738-4949)
- Shuicheng Yan (ORCID: https://orcid.org/0000-0001-8906-3777)
- Yi‐Ping Phoebe Chen (ORCID: https://orcid.org/0000-0002-4122-3767)
Institutions
- The University of Queensland (AU)
- La Trobe University (AU)
Publication Details
- Published
- 2024-10-26
- DOI
- https://doi.org/10.1145/3664647.3687170
- Citations
- 1
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.41