We study whether receiving advice from either a human or algorithmic advisor, accompanied by five types of Local and Global explanation labelings, has an effect on the readiness to adopt, willingness to pay, and trust in a financial AI consultant. We compare the differences over time and in various key situations using a unique experimental framework where participants play a web-based game with real monetary consequences. We observed that accuracy-based explanations of the model in initial phases leads to higher adoption rates. When the performance of the model is immaculate, there is less importance associated with the kind of explanation for adoption. Using more elaborate feature-based or accuracy-based explanations helps substantially in reducing the adoption drop upon model failure. Furthermore, using an autopilot increases adoption significantly. Participants assigned to the AI-labeled advice with explanations were willing to pay more for the advice than the AI-labeled advice with a No-explanation alternative. These results add to the literature on the importance of XAI for algorithmic adoption and trust.
Explainable Artificial Intelligence Techniques for Interpretation of Food Models: a Review
Department of Mathematics, Informatics, and Geosciences University of Trieste（数学、信息学与地质科学系特里斯特大学）；Department of Food Engineering and Technology University of Campinas（食品工程与技术系坎皮纳斯大学）；Faculty of Technology Policy Management University of Technology, Delft（技术政策管理系技术大学，代尔夫特）；ASAC s.r.l., Cessalto (TV), Italy（ASAC公司，Cessalto（TV），意大利）；Department of Food Engineering and Technology, University of Campinas（食品工程与技术系坎皮纳斯大学）
Human-AI Interaction in Industrial Robotics: Design and Empirical Evaluation of a User Interface for Explainable AI-Based Robot Program Optimization
ArtiMinds Robotics（阿蒂迈因兹机器人公司）；Institute for Artificial Intelligence, University of Bremen（不来梅大学人工智能研究所）；wbk Institute of Production Science, Karlsruhe Institute of Technology（卡尔斯鲁厄理工学院生产科学wbk研究所）；Institute for Learning and Innovation in Networks, Karlsruhe University of Applied Sciences（卡尔斯鲁厄应用科学大学网络学习与创新研究所）
A Comprehensive Review on Financial Explainable AI
Nanyang Technological University（南洋理工大学）；National University of Singapore（新加坡国立大学）；Asian Institute of Digital Finance at NUS（新加坡国立大学亚洲数字金融研究所）；Imperial College London（帝国理工学院）
From Black Box to Insight: Explainable AI for Extreme Event Preparedness
Department of Cybersecurity University at Albany, SUNY Albany, NY, USA；Dept. of Atmospheric \& Environmental Sciences University at Albany, SUNY Albany, NY, USA；Lally School of Management Rensselaer Polytechnic Institute Albany, NY, USA；Goddard Space Flight Center NASA Greenbelt, MD, USA
Institut Polytechnique de Paris（巴黎理工学院）；Télécom Paris（巴黎电信学院）；Minsait by Indra Sistemas SA（英德拉系统公司旗下Minsait公司）；Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS)（智能技术卓越研究中心（CiTIUS））；Universidade de Santiago de Compostela（圣地亚哥德孔波斯特拉大学）
The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies
Explainable Uncertainty Estimation for Reliable Medical AI
College of Computing and Data Science (CCDS)（计算与数据科学学院）；Nanyang Technological University (NTU)（南洋理工大学）；A*STAR Centre for Frontier AI Research（新加坡科技研究局前沿人工智能研究中心）；School Of Computing and Digital Technologies（计算与数字技术学院）；Sheffield Hallam University（谢菲尔德哈勒姆大学）；School of Computing（计算机学院）；University of Utah（犹他大学）；Tan Tock Seng Hospital (TTSH)（陈笃生医院）；Lee Kong Chian School of Medicine（李光前医学院）
Entropy-Centric Explainable AI for Remote Sensing Image Segmentation
Faculty of Engineering, Lebanese University（黎巴嫩大学工程学院）；University of Paris-Est Créteil (UPEC)（巴黎东部克雷泰伊大学）；EFREI（EFREI学院）；National Center for Remote Sensing - CNRS（国家遥感中心 - 法国国家科学研究中心）
Explainable Artificial Intelligence (XAI) in Computational Pathology: Definitions, Taxonomy, and Recommendations
Indiana University School of Medicine（印第安纳大学医学院）；Indiana University Melvin and Bren Simon Comprehensive Cancer Center（印第安纳大学梅尔文与布伦·西蒙综合癌症中心）；University of Warwick（华威大学）；Emory University（埃默里大学）；Radboud University Medical Center（拉德堡德大学医学中心）；Singapore General Hospital（新加坡中央医院）
Choose Your Agent: Tradeoffs in Adopting AI Advisors, Coaches, and Delegates in Multi-Party Negotiation
Harvard University（哈佛大学）；Google DeepMind Canada（谷歌深Mind加拿大）；Google DeepMind United States（谷歌深Mind美国）；Google DeepMind New York United States（谷歌深Mind纽约美国）
A Survey on Human-Centered Evaluation of Explainable AI Methods in Clinical Decision Support Systems
Nova School of Science and Technology, Universidade NOVA de Lisboa（诺瓦科学与技术学院，诺瓦里斯本大学）；Nova School of Business and Economics, Universidade NOVA de Lisboa（诺瓦商学院与经济学院，诺瓦里斯本大学）；Carnegie Mellon University（卡内基梅隆大学）
