HCCLCVLGJun 27, 2023

Next Steps for Human-Centered Generative AI: A Technical Perspective

MicrosoftSalesforceUW
arXiv:2306.15774v246 citationsh-index: 50
Originality Synthesis-oriented
AI Analysis

It addresses the need for structured future work in HGAI to enhance AI's integration with human needs, but it is incremental as it builds on existing discussions without introducing new methods or results.

The paper proposes a research agenda for Human-centered Generative AI (HGAI) by defining future directions across three levels: aligning with human values, assimilating human intents, and augmenting human abilities, aiming to guide interdisciplinary research teams toward coherent emergent ideas in the field.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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