This paper investigates the potential of AI models, particularly large language models (LLMs), to support knowledge exploration and augment human creativity during ideation. We present "Latent Lab" an interactive tool for discovering connections among MIT Media Lab research projects, emphasizing "exploration" over search. The work offers insights into collaborative AI systems by addressing the challenges of organizing, searching, and synthesizing content. In a user study, the tool's success was evaluated based on its ability to introduce users to an unfamiliar knowledge base, ultimately setting the groundwork for the ongoing advancement of human-AI knowledge exploration systems.

翻译：本文研究了人工智能模型，特别是大型语言模型（LLMs），在支持知识探索和增强人类创意生成过程中的潜力。我们提出了“潜在实验室”（Latent Lab）这一交互式工具，用于发现麻省理工学院媒体实验室研究项目之间的关联，强调“探索”而非“搜索”。该工作通过解决内容组织、搜索和综合等挑战，为协作式人工智能系统提供了见解。在一项用户研究中，根据该工具能否向用户介绍陌生知识库来评估其成功性，最终为人类-人工智能知识探索系统的持续发展奠定了基础。