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An Integrative 3C evaluation framework for Explainable Artificial Intelligence Xiaocong Cui, Department of Computer Information System and Center for Process Innovation,Georgia State University |
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Diego Saqui, UFSCar |
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Artificial Intelligence in Practice: Implications for IS Research Ransome Epie Bawack, Toulouse 1 Capitole University |
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Anuja Kamat, Wentworth Institute of Technology |
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Kai Heinrich, Technische Universität Dresden |
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Exploiting Web Features for Relevance Feedback Frederico Araujo Durao, Federal University of Bahia |
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Integrating Machine Learning and Grounded Theory Research A. F. Salam, UNC Greensboro |
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Promoting Trust in AI-based Expert Systems Neda Mesbah, Technische Universität Darmstadt |
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Real Estate Image-Based Appraisal Using Mask Region Based Convolutional Networks Samaa Elnagar, Virginia commenwealth university |
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Towards a Text-based Recommender System for Data Mining Method Selection Patrick Zschech, Technische Universität Dresden |
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Raphael Meyer von Wolff, University of Goettingen |
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The purpose of this track is to provide a forum for academics and practitioners to identify and explore the issues, opportunities, and solutions using Artificial Intelligence, computational ontologies, data driven IS, and intelligence related to business and systems including the social web, intelligent systems design, implementation, integration and deployment. An increasing number of artificial intelligence-based systems are being developed in different application domains employing a variety of tools and technologies. This track is intended to increase cross-fertilization of ideas from these areas, share lessons learned and stimulate areas for further research.