Authors:Xiang 'Anthony' Chen, Jeff Burke, Ruofei Du, Matthew K. Hong, Jennifer Jacobs, Philippe Laban, Dingzeyu Li, Nanyun Peng, Karl D. D. Willis, Chien-Sheng Wu, Bolei Zhou
Abstract:Through iterative, cross-disciplinary discussions, we define and propose next-steps for Human-centered Generative AI (HGAI). We contribute a comprehensive research agenda that lays out future directions of Generative AI spanning three levels: aligning with human values; assimilating human intents; and augmenting human abilities. By identifying these next-steps, we intend to draw interdisciplinary research teams to pursue a coherent set of emergent ideas in HGAI, focusing on their interested topics while maintaining a coherent big picture of the future work landscape.
| Subjects: | Human-Computer Interaction (cs.HC); Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG) |
| Cite as: | arXiv:2306.15774 [cs.HC] |
| (or arXiv:2306.15774v2 [cs.HC] for this version) | |
| https://doi.org/10.48550/arXiv.2306.15774 arXiv-issued DOI via DataCite |
Submission history
From: Xiang 'Anthony' Chen [view email]
[v1]
Tue, 27 Jun 2023 19:54:30 UTC (602 KB)
[v2]
Fri, 22 Dec 2023 17:53:02 UTC (898 KB)