Agenda – EJEA Conference 2024

Arisa Ema is an Associate Professor at the University of Tokyo and Visiting Researcher at RIKEN Center for Advanced Intelligence Project. She co-founded the Acceptable Intelligence with Responsibility Study Group (AIR) and is on the board of the Japan Deep Learning Association (JDLA). She contributed to Japan’s “Social Principles of Human-Centric AI” and was awarded Excellent Young Researcher by the University of Tokyo in 2021. Ema earned her Ph.D. from the University of Tokyo and previously served as Assistant Professor at Kyoto University’s Hakubi Center.

Title: Pathways to AI Governance

Abstract: AI governance is being discussed at various levels: corporate, industry associations, national, and international. Despite the creation of many rules and guidelines, their usability for all actors remains questionable. This presentation will highlight issues in AI governance using case studies.

Jeanette Nilsson, an AI Ecosystem expert at RISE, leads the AI Agenda for Sweden. With an engineering degree from Luleå University of Technology, she has worked in business development at various levels. She was nominated for AI Swedish of the Year in 2022. Nilsson also participates in the HPC community and is part of groups connecting industry with Sweden’s HPC center. Additionally, she is Sweden’s representative in EU AI working groups and has been actively involved in building AI ecosystems for societal growth.

Title: AI Agenda for Sweden – Building Inclusion, Sharing Knowledge, and Collaboration

Abstract: Since 2019, Sweden’s AI Agenda has been a collaborative effort, initiated by the Minister for Enterprise, to increase AI adoption. Six diverse groups worked together, resulting in 25 proposals aimed at accelerating AI use. This initiative emphasizes collaboration between research, industry, schools, and civil society, aiming to position Sweden as a leader in AI and create mutual support between sectors.

Osamu Sakura is a Professor at the University of Tokyo and PI of a research project at RIKEN AIP. His research focuses on science and technology studies, social aspects of AI, and the cultural history of science in East Asia. He holds a Ph.D. in primatology from Kyoto University and has served in academic roles in Japan, Germany, and Canada. He also directs the Inter-field Network in Science, Technology, and Media (INSTeM) and has published extensively on science and society.

Title: Cultural Aspects of Human-AI Relationships

Abstract: Innovation often reflects cultural views of technology. In Japan, technology is rooted in holistic approaches, drawing from medical and agricultural traditions. Unlike European reductionist approaches, Japanese technology is seen as art, influenced by cultural artifacts like Karakuri dolls and traditional arts. This presentation explores how different cultures perceive AI and innovation, using historical and contemporary examples from Japan and China, and their implications for human-AI relationships.

Milad Morad is an AI researcher at Fraunhofer FIT and a PhD candidate at RWTH Aachen University. With over six years of experience in AI, including roles in industry and research, he focuses on Human-AI Teaming and adapting Foundation Models to corporate environments.

Title: Foundations of Human-AI Teaming

Abstract: Generative AI (GenAI) is transforming human-machine collaboration, reshaping workplaces, and enhancing organizational success. This session explores how GenAI supports human-AI teamwork, leveraging new frameworks to maximize AI’s benefits. By examining practical implementations, it highlights how organizations can strategically integrate GenAI into their operations to drive innovation and efficiency.

Linnéa Stenliden is a Professor at Linköping University, specializing in AI and education. She leads participatory design projects on AI literacy in primary education and teacher training, funded by the Swedish Research Council and Wallenberg programs. Her research focuses on AI in educational policy, classroom practices, and digital citizenship.

Title: Bridging the Gap: AI Literacy for Teachers and Students

Abstract: In a rapidly AI-driven world, AI literacy is crucial for students, teachers, and educators. This presentation explores the challenges and opportunities in integrating AI into education, emphasizing the importance of developing critical competencies for understanding AI. The presentation draws from global initiatives and research efforts in Sweden to highlight the need for ongoing exploration of AI’s impact on education.

Koji Kida is a Professor at Kagawa University and a researcher at NEC Central Research Laboratories. He holds a Doctor of Engineering degree from Kagawa University and has contributed to research in malware detection, big data processing, and AI security applications. He has received several awards for his work in technology and AI, including the Innovation Grand Prix at CEATEC JAPAN 2017.

Title: Re-designing Kunibo Wada’s Legacy: AI and Student Collaboration

Abstract: This presentation introduces two AI-driven projects aimed at preserving the legacy of Japanese artist Kunibo Wada. The first focuses on creating a unique Kanji font based on Wada’s handwritten characters, while the second involves using generative AI to render virtual spaces based on his landscape paintings. These projects showcase the integration of AI and traditional art forms to foster cultural preservation.