1. Next Steps for Human-Centered Generative AI: A Technical Perspective
- Author
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Chen, Xiang 'Anthony', Burke, Jeff, Du, Ruofei, Hong, Matthew K., Jacobs, Jennifer, Laban, Philippe, Li, Dingzeyu, Peng, Nanyun, Willis, Karl D. D., Wu, Chien-Sheng, and Zhou, Bolei
- Subjects
FOS: Computer and information sciences ,Computer Science - Machine Learning ,Computer Science - Computation and Language ,Computer Vision and Pattern Recognition (cs.CV) ,Computer Science - Human-Computer Interaction ,Computer Science - Computer Vision and Pattern Recognition ,Computation and Language (cs.CL) ,Human-Computer Interaction (cs.HC) ,Machine Learning (cs.LG) - Abstract
Through iterative, cross-disciplinary discussions, we define and propose next-steps for Human-centered Generative AI (HGAI) from a technical perspective. We contribute a roadmap that lays out future directions of Generative AI spanning three levels: Aligning with human values; Accommodating humans' expression of intents; and Augmenting humans' abilities in a collaborative workflow. This roadmap intends to draw interdisciplinary research teams to a comprehensive list of emergent ideas in HGAI, identifying their interested topics while maintaining a coherent big picture of the future work landscape.
- Published
- 2023