We are organizing a workshop at IUI focused on data and interaction provenance, visualization, and intelligent systems and interfaces. Please see the details of the call below: *Scope of Topics* We aim to further the provenance endeavors in the IUI community by targeting interface applications, user evaluations, and explanations of provenance information. Examples of challenges in these areas include training data provenance, the use of generative AI tools, and understanding the user psychology surrounding interactions with provenance visualizations. This also includes identifying emerging provenance research opportunities, such as its role in supporting Machine Learning and Explainable AI. Through this workshop, we aim to bridge connections with diverse IUI communities, facilitating a deeper understanding of their unique challenges and needs, and fostering discussions on innovative solutions While we are interested in any submissions at the intersection of provenance and visualization, we are especially focused on: - What are the opportunities for provenance in emerging research areas such as machine learning reproducibility? - What are the most pressing provenance-related challenges in the IUI community? Are there any visualization-related solutions to them? For example, - What visualization or user interface techniques may be used to describe retrospective and prospective provenance data that are more interactive, scalable, and user-friendly? - How can provenance visualizations (of the data collection, decision processes, or current users interactions) support machine learning explanations? - What can we learn when contrasting the problems of these two communities? Is there any interface design problem that can benefit from a data provenance method? *Important Dates* January 16, 2024: Paper submission deadline February 9, 2024: Paper author notification March 1, 2024: Paper camera-ready version deadline *All times are midnight Anywhere on Earth (AOE)* *Submission* We will accept research papers/extended abstracts or position papers. Your submission should be commensurate with the level of contribution but is required to be at least 2 pages (plus references). Papers must follow the ACM IUI submissions guidelines ( https://iui.acm.org/2024/call_for_papers.html). Your submission should be anonymized to facilitate a double-blind review between authors and the conference organizers. Accepted authors will be invited to post their work in an arXiv collection (which will not be considered archival). For further details on submission, please see the workshop website: https://visxprov.github.io/ *Organizers* John Wenskovitch, PNNL Kai Xu, University of Nottingham Michelle Dowling, PNNL Yilin Xia, University of Illinois Urbana-Champaign