AI智能体与可视化（VIS）的未来
AI Agents and the Future of VIS
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中文总结 AI 辅助
该研讨会聚焦AI智能体与VIS领域的融合，探讨自主智能体对VIS的影响、人机协作等关键问题，邀请相关人员分享思路以推动VIS在人机共存未来的发展。
中文摘要 AI 辅助
智能体（即自主的、目标驱动的AI系统，可迭代地观察、行动并从环境中学习）的最新进展，提供了与被动响应输入的传统AI模型截然不同的方法。这些AI智能体正在迅速重塑我们处理数据密集型任务的方式，并为可视化（VIS）领域提供新机遇。设想一下，智能体可自主生成可视化内容以分析复杂数据、协同发现模式、检验假设，并以超越人类能力的速度和规模传递可视化洞见。然而，这些强大系统的出现引发了VIS领域必须解决的关键问题：自主智能体最终能否取代人类数据科学家？若不能，它们应如何开展最佳协作？专为人类分析师设计的现有可视化技术与界面是否适用于智能体交互？VIS设计者应如何在不损害人类能动性的前提下，将智能体有效整合至工作流程中？智能体应在多大程度上助力塑造和培育下一代可视化研究者？本次研讨会将通过主旨演讲、论文展示以及智能体VIS挑战赛的结合形式，邀请研究者与从业者分享创新思路、探讨上述问题，并讨论相关策略，以在人类与AI智能体共存的未来，转变VIS的影响力。
英文摘要
Recent advances in agents (i.e., autonomous, goal-driven AI systems that iteratively observe, act, and learn from their environments) offer a fundamentally different approach from traditional AI models that passively respond to input. These AI agents are rapidly reshaping how we approach data-intensive tasks and providing new opportunities for the VIS community. Imagine an agent autonomously generating visualizations to analyze complex data, discovering patterns collaboratively, testing hypotheses, and communicating visual insights at a speed and scale beyond human capability. Yet, the emergence of these powerful systems raises critical questions that the VIS community must address: Could autonomous agents eventually replace human data scientists, and if not, how might they best collaborate? Are current visualization techniques and interfaces, originally designed for human analysts, suitable for agent interactions? How can VIS designers effectively integrate agents into their workflows without compromising human agency? And to what extent should agents help shape and educate the next generation of visualization researchers? Through a mix of keynote talks, paper presentations, and an agentic VIS challenge, this workshop invites researchers and practitioners to share innovative ideas, explore these questions, and discuss strategies to transform the impact of VIS for a future where human and AI agents co-exist.
