Speaker: Professor Patrick Mikalef, Professor in Data Science and Information Systems, Norwegian University of Science and Technology (NTNU)
Abstract: The notion of responsible AI has emerged from a fear that AI may lead to negative or unintended consequences through its use in different areas. While the concept is now broadly used, there is little consensus about what it means and why it is important. This makes it challenging for both research and practice to make meaning out of the notion and to implement such approaches where needed. In this talk, there will be a critical reflection on what it means to be responsible in the age of AI and how we can problematise some key concepts in order to improve how we develop and use technology. More importantly, we will discuss why being responsible with AI can be good business.
Bio: Patrick Mikalef is a Professor in Data Science and Information Systems at the Department of Computer Science at NTNU, Norway. In the past, he has been a Marie Skłodowska-Curie post-doctoral research fellow working on the research project “Competitive Advantage for the Data-driven Enterprise” (CADENT). He received his B.Sc. in Informatics from the Ionian University, his M.Sc. in Business Informatics from Utrecht University, and his Ph.D. in IT Strategy from the Ionian University. His research interests focus on the strategic use of information systems and IT-business value in turbulent environments. He has published his work in over 180 international conferences and peer-reviewed journals, including the Journal of the Association for Information Systems, European Journal of Information Systems, Journal of Strategic Information Systems, British Journal of Management, Information and Management, and Decision Support Systems. He serves as a senior editor of the European Journal of Information Systems and as editor of Information of Management. Patrick Mikalef is also a distinguished member of the Association for Information Systems (AIS).
Workshop Report
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