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Paper presented at: First International Symposium on Educating for Collective Intelligence (5/6 Dec 2024) https://cic.uts.edu.au/events/collect... This paper used a CI process to collect the thoughts of several members of the UM6P School for Collective Intelligence (SCI) on the challenge of educating for collective intelligence (CI). We discuss what makes teaching CI important, what makes it unique, as well how to teach CI well. CI is distinguished by being a young and extremely multi-disciplinary field, which suggests we should follow the lead of similar discipline, such as complex systems science, in educating people about it. This has impact, we believe, both on the content of what we teach (e.g. the importance of starting with a core set of shared concepts and vocabulary), as well as how we teach it (e.g. using CI techniques to teach CI, using a case study approach, learning by applying CI principles to real-world problems, and so on). Mark Klein — I am a Principal Research Scientist at the Massachusetts Institute of Technology. My research mission is to develop technology that helps large numbers of people work together more effectively to solve difficult real-world challenges. It seems that many of our most critical collective decisions have results (e.g. in terms of climate, economic prosperity, and social stability) that none of us individually want, suggesting that our current collective decision-making processes are deeply flawed. I’d like to contribute to fixing that problem. My approach is inherently multidisciplinary, drawing from artificial intelligence, collective intelligence, data science, operations research, complex systems science, economics, management science, and human-computer interaction, amongst other fields. My background includes a PhD in Artificial Intelligence from the University of Illinois, as well as research and teaching positions at Hitachi, Boeing, Pennsylvania State University, the University of Zurich, the Nagoya Institute of Technology, the National Institute of Advanced Industrial Science and Technology (AIST) in Tokyo Japan, and the School of Collective Intelligence at UM6P in Morocco.