CHI’21 Preprint Collection HCI + AI Looking for current research on HCI + AI? Here’s a list. Here’s a collection of CHI’21 preprints on topics related to computational HCI, data, algorithms and AI . It’s not a comprehensive list and in no particular order. Found via Twitter and arXiv. Suggestions welcome!
Daniel Buschek (@DBuschek )
XAI: Explainability, Transparency, Trust, Bias, … Expanding Explainability: Towards Social Transparency in AI systems To Live in Their Utopia: Why Algorithmic Systems Create Absurd Outcomes Effect of Information Presentation on Fairness Perceptions of Machine Learning Predictors Manipulating and Measuring Model Interpretability Modeling Assumptions Clash with the Real World: Transparency, Equity, and Community Challenges for Student Assignment Algorithms Trust in Collaborative Automation in High Stakes Software Engineering Work: A Case Study at NASA Effects of Semantic Segmentation Visualization on Trust, Situation Awareness, and Cognitive Load in Highly Automated Vehicles Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance Evaluating the Interpretability of Generative Models by Interactive Reconstruction Understanding User Attitudes Towards Negative Side Effects of AI Systems (LBW) Exploring a Makeup Support System for Transgender Passing based on Automatic Gender Recognition Towards Explainable AI: Assessing the Usefulness and Impact of Added Explainability Features in Legal Document Summarization (LBW) The Effects of Warmth and Competence Perceptions on Users’ Choice of an AI System 
