Next Steps for Human-Centered Generative AI: A Technical Perspective
Human-Computer Interaction
2023-12-25 v2 Computation and Language
Computer Vision and Pattern Recognition
Machine Learning
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.
Cite
@article{arxiv.2306.15774,
title = {Next Steps for Human-Centered Generative AI: A Technical Perspective},
author = {Xiang 'Anthony' Chen and Jeff Burke and Ruofei Du and Matthew K. Hong and Jennifer Jacobs and Philippe Laban and Dingzeyu Li and Nanyun Peng and Karl D. D. Willis and Chien-Sheng Wu and Bolei Zhou},
journal= {arXiv preprint arXiv:2306.15774},
year = {2023}
}