Dear Colleagues, We invite submissions to the Visualization Meets AI Workshop, co-located with IEEE PacificVis 2027. We are pleased to announce that the workshop is once again partnering with the *Information Visualization* journal ( https://journals.sagepub.com/page/ivi/collections), with all accepted papers to be published in a special issue. ===WORKSHOP=== Visualization Meets AI Workshop, colocated with IEEE PacificVis 2027 https://vismeetsai.github.io/ Data visualization requires a thoughtful design process that heavily relies on both domain knowledge and familiarity with visualization techniques. Given the vast design space and inherent complexity, even experts often invest substantial effort to create effective visualizations for exploration or communication. With the rapid advancement of artificial intelligence (AI)—particularly the rise of powerful foundation models such as large language models (LLMs), vision-language models (VLMs), and multimodal AI systems—the field of visualization is undergoing a significant transformation. These cutting-edge models present new opportunities to automate and augment the visualization process. Concurrently, visualization plays an increasingly vital role in the development and deployment of advanced AI models. As these models grow in complexity and scale, the need for effective visual interfaces and techniques becomes more pressing—to interpret model behavior, debug outputs, and foster transparency, accountability, and human-AI collaboration. This workshop aims to explore this dynamic and rapidly evolving area by fostering communication between the visualization and AI communities. Attendees will engage with the latest research at the intersection of AI-enhanced visualization (AI4VIS) and visualization-enhanced AI (VIS4AI), with a particular focus on how cutting-edge models—such as LLMs, VLMs, and beyond—are reshaping the landscape. ===CALL FOR PAPERS=== We welcome submissions in the form of full papers. All accepted papers will be published in a special issue of the* Information Visualization* journal. Please check the detailed submission instructions in our website: https://vismeetsai.github.io/ ===IMPORTANT DATES=== - Paper due: *December 18, 2026* - 1st cycle notification: February 1, 2027 - Revision due: February 15, 2027 - 2nd cycle notification: February 22, 2027 - Editable source files due: March 1, 2027 - Final notification from the journal’s EIC: March 8, 2027 - Workshop: April 19, 2027 All deadlines are due at 11:59pm Anywhere on Earth (AoE). Thanks, Takanori Fujiwara and Junpeng Wang Visualization Meets AI Workshop Co-Chairs