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With the widespread use of AI applications, AI Ethics emerged as research domain aiming to investigate fairness, accountability, and transparency of the more and more sophisticated AI systems. This move is supported several recent initiatives originating from national, international as well as industry stakeholders are being developed to investigate the ethical dimension of these AI solutions. Our domain in AI Ethics are as follows:


our research concentrates on explainable and transparent AI. In particular, our research investigates explainable agents and robots and well as bridging the gap between symbolic and sub-symbolic AI systems and making them explainable. In addition, our recent research also tackles ethics, norms and fairness of AI systems involving single and multiple stakeholders.


The AI Robolab organizes a post-graduate seminar course for second year master students addressing AI Ethics and eXplainable AI (XAI). The course covers latest research topics in the domain and teach students of general teaching methods. In addition, every year, the AI Robolab supervises undergraduate students working on AI ethics-related topics.


◦ The Institute of Logic and Cognition, Zhejiang University, Hangzhou, China.
◦ The eXplainable AI Team, Umea University, Sweden.
◦ Department of Information Science and Media Studies at the University of Bergen.
◦ The Applied Intelligent Agent lab, HES-SO, Switzerland.
◦ Department of Computer Science and Engineering, Bologna, Italy.
◦ CIAD Lab, Université de technologie de Belfort Montbéliard (UTBM), Belfort, France.
◦ Computer Science Department, Ozyegin University, Turkey.
◦ Adaptive Systems of Intelligent Agents, Aalto University, Finland.
◦ School of Information Management, at Victoria University of Wellington, New Zealand.