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 human 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.

翻译：本卷专门论述综合视觉知识发现的新领域,将人工智能/医学学习(AI/ML)和视觉学/视觉分析学的进展结合起来,包括了选定的人工智能和视觉分析论文的扩充版以及最近举行的国际信息视觉化会议(IV2019和IV2020)的有关研讨会。AI/ML面临向人类解释模型的长期挑战。模型解释基本上是人类活动,而不仅仅是算法活动。本章我们的目的是介绍视觉分析学、视觉知识发现和AI/ML领域的挑战和未来方向,并讨论视觉AI/ML的可视化作用。此外,我们还介绍了正在形成的全2D ML、自然语言处理和通过视觉手段协助的多维数据中的AI/ML的进展。