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Zhu, Jichen (author), Liapis, Antonios (author), Risi, Sebastian (author), Bidarra, Rafael (author), Michael Youngblood, G. (author)
Growing interest in eXplainable Artificial Intelligence (XAI) aims to make AI and machine learning more understandable to human users. However, most existing work focuses on new algorithms, and not on usability, practical interpretability and efficacy on real users. In this vision paper, we propose a new research area of eXplainable AI for...
conference paper 2018