The 2nd GENEE Symposium
“Social Challenges Brought by Generative AI: Data Bias, Fake News, and Shaken Legal Systems”
In education and workplaces, there is a growing trend of exploratory implementation of generative AI.
Generative AI possesses versatile symbolic processing capabilities and is expected to significantly impact the nature of human intellectual activities in the future.
However, this technology’s significant impact is also predicted to give rise to various social challenges.
In this symposium, speakers will particularly discuss the anticipated challenges, especially from the perspectives of data bias, fake news, and legal systems, and explore how to address them.
◇Date & Venue
・Date: Thursday, August 3, 2023, 4:00~6:00 pm (JST)
・Venue: On-site & Online Hybrid
・On-site：Fukutake Learning Theater, The University of Tokyo (B2F., Fukutake Hall, Hongo Campus)
・Registration: Please visit the GENEE website for registration.
＜Opening Remarks＞ The Waves Brought by Generative AI
Kaori Hayashi (Executive Vice President, The University of Tokyo)
＜Presentation 1＞ Legal and Policy Challenges of Generative AI
Naoto Ikegai (Professor, Department of Business Law, Graduate School of Law, Hitotsubashi University)
＜Presentation 2＞ Intersectional Feminism and AI/Algorithms: Towards Restoring Trustworthiness in Media
Tohko Tanaka (Professor, Interfaculty Initiative in Information Studies, The University of Tokyo)
＜Presentation 3＞ Generative AI and the Digital Information Space
Fujio Toriumi (Professor, Department of Systems Innovation, School of Engineering, The University of Tokyo)
＜Panel Discussion＞ Social Challenges Brought by Generative AI and Directions for Solutions
Moderator: Yuko Itatsu (Professor, Interfaculty Initiative in Information Studies, The University of Tokyo)
Panelists: Naoto Ikegai, Tohko Tanaka, Fujio Toriumi
＜Closing Remarks＞ Confronting the Social Challenges Brought by Generative AI
Yuhei Yamauchi (Dean, Interfaculty Initiative in Information Studies, The University of Tokyo)
Generative AI and Educational Environment Research Project (GENEE) of the Collaborative Research Organization of Educational Technology at the University of Tokyo
B’AI Global Forum, Institute for AI and Beyond, The University of Tokyo