Next Steps for Human-Centered Generative AI: A Technical Perspective
Xiang Ánthony' 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.
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