Visual Knowledge Discovery with Artificial Intelligence: Challenges and Future Directions [article]

Boris Kovalerchuk, Răzvan Andonie, Nuno Datia, Kawa Nazemi, Ebad Banissi
2022 arXiv   pre-print
This volume is devoted to the emerging field of Integrated Visual Knowledge Discovery that combines advances in Artificial Intelligence/Machine Learning (AI/ML) and Visualization/Visual Analytics. Chapters included are extended versions of the selected AI and Visual Analytics papers and related symposia at the recent International Information Visualization Conferences (IV2019 and IV2020). AI/ML face a long-standing challenge of explaining models to humans. Models explanation is fundamentally
more » ... an activity, not only an algorithmic one. In this chapter we aim to present challenges and future directions within the field of Visual Analytics, Visual Knowledge Discovery and AI/ML, and to discuss the role of visualization in visual AI/ML. In addition, we describe progress in emerging Full 2D ML, natural language processing, and AI/ML in multidimensional data aided by visual means.
arXiv:2205.01296v2 fatcat:s3ygky7tcrg2jaj4ihccyg2lzy