1. Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness
- Author
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Nakao, Yuri, Strappelli, Lorenzo, Stumpf, Simone, Naseer, Aisha, Regoli, Daniele, and Del Gamba, Giulia
- Subjects
FOS: Computer and information sciences ,Human-Computer Interaction ,ComputingMethodologies_PATTERNRECOGNITION ,Artificial Intelligence (cs.AI) ,T1 ,Computer Science - Artificial Intelligence ,Computer Science - Human-Computer Interaction ,Human Factors and Ergonomics ,Q1 ,GeneralLiterature_MISCELLANEOUS ,Human-Computer Interaction (cs.HC) ,Computer Science Applications - Abstract
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., Comment: 44 pages, 17 figures, the draft of a paper on International Journal of Human-Computer Interaction
- Published
- 2022
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