Keynote Speakers

The rapid development of AI, smartphones, and the Internet, as well as the recent changes in the environment caused by COVID-19, have made the realization of AI-powered social systems more and more realistic. We envision the Hyperdemocary Platform, a social network that supports software agents and humans to participate, discuss, and make a collaborative, democratic consensus. Specifically, multiple agents will be stationed in social networks as the platform of democracy, act with humans, mediate decisions and interactions, and support enhanced and scalable consensus-building and collective decision-making. In particular, while collecting opinions and preferences, software agents are attentive to the emotions of the participants and help them to reach a consensus that is both proactive and satisfying efficiently. In other words, the system solves the trade-off between proactive and satisfied consensus building by humans and super-efficient and super-rational consensus building by software agents. Social problems such as flaming, fake news, group polarization, and gerrymandering have been widely reported in the SNS. Our agents will solve these problems by collaborating with humans within the platform. In this talk, I will introduce some results of our recent work.

Dr. Takayuki ITO is Professor of Kyoto University. He received the B.E., M.E, and Doctor of Engineering from the Nagoya Institute of Technology in 1995, 1997, and 2000, respectively. From 1999 to 2001, he was a research fellow of the Japan Society for the Promotion of Science (JSPS). From 2000 to 2001, he was a visiting researcher at USC/ISI (University of Southern California/Information Sciences Institute). From April 2001 to March 2003, he was an associate professor of Japan Advanced Institute of Science and Technology (JAIST). From April 2004 to March 2013, he was an associate professor of Nagoya Institute of Technology. From April 2014 to September 2020, he was a professor of Nagoya Institute of Technology. From October 2020, he is a professor of Kyoto University. From 2005 to 2006, he is a visiting researcher at Division of Engineering and Applied Science, Harvard University and a visiting researcher at the Center for Coordination Science, MIT Sloan School of Management. From 2008 to 2010, he was a visiting researcher at the Center for Collective Intelligence, MIT Sloan School of Management. From 2017 to 2018, he was an invited researcher of Artificial Intelligence Center of AIST, JAPAN. From March 5, 2019, he is the CTO of AgreeBit, inc. He is Steering Committee Chair of PRIMA,  Steering Committee Member of PRICAI, Executive Committee Member of IEEE Computer Society Technical Committee on Intelligent Informatics, the PC-chair of AAMAS2013, PRIMA2009, the Local Arrangements Chair of IJCAI-PRICAI2020, General-Chair of PRICAI2024, PRIMA2024, PRIMA2020, PRIMA2014, and was a SPC/PC member in many top-level conferences (IJCAI, AAMAS, ECAI, AAAI, etc). He was a board member of IFAAMAS. He received the JSAI (Japan Society for Artificial Intelligence) Contribution Award, the JSAI Achievement Award, the JSPS Prize, 2014, the Prize for Science and Technology (Research Category), The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science, and Technology, 2013, the Young Scientists' Prize, The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science, and Technology, 2007, the Nagao Special Research Award of the Information Processing Society of Japan, 2007, the Best Paper Award of AAMAS2006, the 2005 Best Paper Award from Japan Society for Software Science and Technology, the Best Paper Award in the 66th annual conference of 66th Information Processing Society of Japan, and the Super Creator Award of 2004 IPA Exploratory Software Creation Projects. He is Principle Investigator of the Japan Cabinet Funding Program for Next Generation World-Leading Researchers (NEXT Program). Further, he has several companies, which are handling web-based systems and enterprise distributed systems. His main research interests include multi-agent systems, intelligent agents, collective intelligence, group decision support system, etc.