With the increasing adoption of Artificial Intelligence (AI) systems in
high-stake domains, such as healthcare, effective collaboration between domain
experts and AI is imperative. To facilitate effective collaboration between
domain experts and AI systems, we introduce an Explanatory Model Steering
system that allows domain experts to steer prediction models using their domain
knowledge. The system includes an explanation dashboard that combines different
types of data-centric and model-centric explanations and allows prediction
models to be steered through manual and automated data configuration
approaches. It allows domain experts to apply their prior knowledge for
configuring the underlying training data and refining prediction models.
Additionally, our model steering system has been evaluated for a
healthcare-focused scenario with 174 healthcare experts through three extensive
user studies. Our findings highlight the importance of involving domain experts
during model steering, ultimately leading to improved human-AI collaboration.

在高风险领域（如医疗保健）中，为了有效实现人工智能（AI）系统与领域专家之间的合作，我们引入了一种解释模型引导系统，允许领域专家利用其领域知识来引导预测模型。通过结合基于数据和模型的不同类型解释和手动、自动数据配置方法，该系统提供了一个解释仪表盘，用于引导预测模型。通过三项广泛的用户研究，我们对以医疗保健为重点场景的模型引导系统进行了评估，研究结果强调了在模型引导过程中涉及领域专家的重要性，从而最终实现了人工智能与人类的改进合作。