论文标题
迈向负责人的AI：以人工智能用户界面的设计空间探索以调查公平性
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness
论文作者
论文摘要
凭借人工智能（AI）来帮助或自动化决策，迅速发展，特别关心的是公平性。为了通过以人为本的人工智能（HCAI）设计创建可靠，安全和值得信赖的系统，最近的努力产生了用户界面（UIS），以供AI专家研究AI模型的公平性。在这项工作中，我们提供了一个设计空间探索，不仅支持数据科学家，还支持域专家来研究AI公平。以贷款申请为例，我们与贷款官员和数据科学家举办了一系列研讨会，以引起他们的要求。我们将这些要求实例化为Fairhil，fairhil是一个支持人类公平调查的UI，并描述了如何将其推广到其他用例中。我们通过思考的用户研究对Fairhil进行了评估。我们的工作为研究AI模型的公平性而贡献了更好的设计，并更加靠近负责人的AI。
With Artificial intelligence (AI) to aid or automate decision-making advancing rapidly, a particular concern is its fairness. In order to create reliable, safe and trustworthy systems through human-centred artificial intelligence (HCAI) design, recent efforts have produced user interfaces (UIs) for AI experts to investigate the fairness of AI models. In this work, we provide a design space exploration that supports not only data scientists but also domain experts to investigate AI fairness. Using loan applications as an example, we held a series of workshops with loan officers and data scientists to elicit their requirements. We instantiated these requirements into FairHIL, a UI to support human-in-the-loop fairness investigations, and describe how this UI could be generalized to other use cases. We evaluated FairHIL through a think-aloud user study. Our work contributes better designs to investigate an AI model's fairness-and move closer towards responsible AI.
