lightbulb现实痛点公平性、偏见与代表性用户在复杂的争议性话题中容易因为偏见而得出片面的结论。CUI '21The Meant, the Said, and the Understood: Conversational Argument Search and Cognitive Biases
lightbulb现实痛点公平性、偏见与代表性普通用户对机器学习预测结果为何不信任,担心公平性问题。CHI '25Perceptions of the Fairness Impacts of Multiplicity in Machine Learning
lightbulb现实痛点公平性、偏见与代表性用户难以发现AI决策中的间接偏见,易接受有偏见的结果。IUI '24The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features
lightbulb现实痛点公平性、偏见与代表性现有实验室工具难以为微生物等非人类物种提供公平的生态环境。CHI '24Microbial Revolt: Redefining biolab tools and practices for more-than-human care ecologies
lightbulb现实痛点公平性、偏见与代表性用户可能因透明头像设计被误解或受到不公平评价。CHI '24Your Avatar Seems Hesitant to Share About Yourself: How People Perceive Others' Avatars in the Transparent System
lightbulb现实痛点公平性、偏见与代表性用户对AI行为的道德判断缺乏一致性且受个人因素显著影响。CHI '24Exploring the Association between Moral Foundations and Judgements of AI Behaviour
lightbulb现实痛点公平性、偏见与代表性AI在协作中可能加剧用户偏见,影响决策质量。CSCW '23Workshop on Understanding and Mitigating Cognitive Biases in Human-AI Collaboration