论文标题
AI系统及其解释的创造用途：保险的案例研究
Creative Uses of AI Systems and their Explanations: A Case Study from Insurance
论文作者
论文摘要
最近的作品已经认识到在设计和评估人类相互作用和可解释的AI方法时需要以人为本的观点。然而，由于与AI系统的交互作用以及不同损失持有人组的解释性方法，当前的方法在拦截和管理意外用户行为时缺乏。在这项工作中，我们探讨了在保险领域中使用AI和解释性方法的使用。在与具有不同角色和专业背景的参与者的定性案例研究中，我们表明AI和解释性方法在日常工作流程中以创造性的方式使用，从而导致其预期和实际使用之间的分歧。最后，我们讨论了一些有关人类互动的设计和可解释的AI方法的建议，以管理风险和利用意外用户行为的潜力。
Recent works have recognized the need for human-centered perspectives when designing and evaluating human-AI interactions and explainable AI methods. Yet, current approaches fall short at intercepting and managing unexpected user behavior resulting from the interaction with AI systems and explainability methods of different stake-holder groups. In this work, we explore the use of AI and explainability methods in the insurance domain. In an qualitative case study with participants with different roles and professional backgrounds, we show that AI and explainability methods are used in creative ways in daily workflows, resulting in a divergence between their intended and actual use. Finally, we discuss some recommendations for the design of human-AI interactions and explainable AI methods to manage the risks and harness the potential of unexpected user behavior.
