Artificial Intelligence (AI) can now automate the algorithm selection, feature engineering, and hyperparameter tuning steps in a machine learning workflow. Commonly known as AutoML or AutoAI, these technologies aim to relieve data scientists from the tedious manual work. However, today's AutoAI systems often present only limited to no information about the process of how they select and generate model results. Thus, users often do not understand the process, neither do they trust the outputs. In this short paper, we provide a first user evaluation by 10 data scientists of an experimental system, AutoAIViz, that aims to visualize AutoAI's model generation process. We find that the proposed system helps users to complete the data science tasks, and increases their understanding, toward the goal of increasing trust in the AutoAI system.

中文翻译：

---

AutoAIViz：用条件平行坐标打开自动化人工智能的黑匣子

人工智能 (AI) 现在可以自动执行机器学习工作流程中的算法选择、特征工程和超参数调整步骤。这些技术通常被称为 AutoML 或 AutoAI，旨在将数据科学家从繁琐的手动工作中解脱出来。然而，今天的 AutoAI 系统通常只提供有限的信息，没有关于它们如何选择和生成模型结果的过程的信息。因此，用户通常不了解过程，也不信任输出。在这篇简短的论文中，我们提供了 10 位数据科学家对实验系统 AutoAIViz 的首次用户评估，该系统旨在可视化 AutoAI 的模型生成过程。我们发现所提出的系统可以帮助用户完成数据科学任务，并增加他们的理解，以实现增加对 AutoAI 系统信任的目标。