Föreläsningar

The University of Tokyo, RIKEN Center for Advanced Intelligence Project

Title

Pathways to the AI governance

Abstract

AI governance is being discussed at various levels, including corporate, industry associations, national, and international. While various rules and guidelines are being developed, are they actually user-friendly for all actors in the field? This presentation will raise issues about the state of AI governance based on case studies.

CV

Arisa Ema is an Associate Professor at the University of Tokyo and Visiting Researcher at RIKEN Center for Advanced Intelligence Project in Japan. She is a researcher in Science and Technology Studies (STS), and her primary interest is to investigate the benefits and risks of artificial intelligence by organizing an interdisciplinary research group. She is a co-founder of Acceptable Intelligence with Responsibility Study Group (AIR) established in 2014, which seeks to address emerging issues and relationships between artificial intelligence and society. She is a board member of the Japan Deep Learning Association (JDLA). She was also a member of the Council for Social Principles of Human-centric AI, The Cabinet Office, which released “Social Principles of Human-Centric AI” in 2019. She obtained a Ph.D. from the University of Tokyo and previously held a position as Assistant Professor at the Hakubi Center for Advanced Research, Kyoto University. The University of Tokyo Excellent Young Researcher, 2021.

Link to CV

Research Institute for Sweden RISE, Centre for Applied AI (Sweden)

Title:

AI Agenda for Sweden - the process that builds on inclusion, sharing knowledge and work together

Abstract

We have been working since 2019, starting as a challenge from the Minister for Enterprise in Sweden, who aimed to increase AI adoption. We formed six groups with diverse geographical backgrounds, competencies, and experiences. This collaboration resulted in 25 proposals to accelerate AI use from different perspectives. The goal was to establish a unified direction for everyone to strive towards.

What is unique about our work is that it is driven by dedicated individuals who participate in the initiative alongside their regular assignments to strengthen Sweden. By bringing together the power of research, industry, schools, infrastructure, the public sector, and civil society, we can quickly provide mutual support and aid the Government Offices in negotiations and policy directions. Developing further exchanges with other countries will enhance our work and position us as a key stakeholder in the global effort to utilize AI.

CV

Jeanette Nilsson has an engineering degree from Luleå University of Technology and has worked with business development on national, regional and local basis. Currently, Jeanette works at RISE as AI Ecosystem expert with the goal of making Sweden leading in Europe when it comes to using artificial intelligence technology to strengthen societal development. She leads the AI Agenda for Sweden, where some 80 experts are working together to strengthen Sweden's opportunities to use AI in the change that society is undergoing. The work is based on inclusion and humancentric focus of the new technology, Jeanette was nominated for AI Swedish of the Year 2022 for the work with the AI Agenda.

Jeanette is also active in HPC community and part of the group that has built up Swedens HPC center with the responsibility of connecting industry and SME. Jeanette is a board member of BDVA and a member of the RIAG ( Research Innovation Advisory Group) to the Euro HPC JU. Sweden's representative in the EU AI and Business Digitalisation Working Group responsible for the Partnership on AI, Data and Robotics (ADRA). Sweden’s representative in AI Connect ll.

The University of Tokyo, and PI of the Research Project for Science, Technology and Society, RIKEN Center for Advanced Intelligence Project (AIP), Japan.

Title

How Should We Consider the Cultural Aspects of Human-AI Relationships?

Abstract

Innovation is commonly understood as the invention of new technologies. However, the definition of 'technology' varies significantly across cultures, which in turn shapes the nature of innovation and the role of artificial intelligence within it. In European contexts, technology is primarily grounded in mechanical principles, allowing for advancements through elemental reductionist approaches. Conversely, in Japan, the foundation of technology lies in medical and agricultural sciences, leading to a perception of artifacts in a more biological and holistic manner.

A quintessential example is the Karakuri Zui [Illustrated Manual of Automata], an 18th-century Japanese publication that details karakuri dolls, or automata. While it describes the function of individual components, it predominantly highlights the behavior and characteristics of the automata as integrated wholes. Furthermore, during Japan’s early modernization in the late 19th century, 'technology' was translated as "技芸 gigei", encompassing "skill and arts" thereby integrating artistic endeavors into its definition. In this view, artifacts were akin to works of art, with their novelty assessed not by the ingenuity of individual elements but by the overall uniqueness imbued by the artist.
This perception of technology, while diverging from modern market-driven principles prevalent from the mid-20th century, continues to influence contemporary evaluations, such as the aesthetic appreciation of robots for their kawaii (cute) design in Japan, suggesting an enduring conflation with art. Similarly, Chinese technology, associated with the Way of Heaven, underscores ethical dimensions, emphasizing the harmony of technological developments with universal principles.
The perspectives from Japan and China are particularly relevant today, as man-made entities like AI and robots increasingly mirror life forms, necessitating a reevaluation of innovation through a culturally nuanced lens.

CV

Dr. Osamu Sakura is a Professor of Interfaculty Initiative in Information Studies, the University of Tokyo, and PI of the Research Project for Science, Technology and Society, RIKEN Center for Advanced Intelligence Project (AIP), Japan. His main interests are science and technology studies, including social aspects of artificial intelligence (AI) and robotics, comparative history of the reception of evolutionary theory, and cultural effects on the history of science and technology in Japan and other East Asian countries. He was also engaged in the relationship between experts and local people in the evacuation areas of the Fukushima Daiichi nuclear disaster. Having got a Ph.D. from Kyoto University, Japan, in primatology and behavioral ecology, he taught at Yokohama National University (1993-2000) before moving to his current position in 2000 and worked as a visiting scholar at the University of Freiburg, Germany (1995-96) and the University of British Columbia, Canada (2012). He also launched the Inter-field Network in Science, Technology, and Media (INSTeM), an incorporated foundation, and has been serving as Director. He published several journal papers and books, including What is Science? (2021).

Fraunhofer FIT, RWTH Aachen University (Germany)

Title

Exploring the Foundations of Human-AI Teaming

Abstract

The rapid evolution of Generative Artificial Intelligence (GenAI) is opening new horizons for organizations, presenting both opportunities and challenges in its adoption. This keynote will explore how GenAI is not only enabling but fundamentally reinventing human-machine collaboration. As the boundaries between human intelligence and machine capabilities become increasingly blurred, we are able to leverage these technologies to effectively maximise their benefits.

This session will explore the importance of Human-AI Teaming and how organizations can use GenAI strategically to transform their working environments. By highlighting the pioneering efforts of practical implementations and the visionary potential of Human-AI Teaming. This concept is reshaping the way work is done, ensuring that GenAI augments the workforce and significantly enhances organizational success.

Discover how generative AI can support, augment, and empower a more efficient and innovative workforce. Learn about the frameworks and insights to implement these transformative technologies with humanity at the heart of every strategy. This session promises to illuminate the transformative partnership opportunities between humans and AI, paving the way for a future where technology enhances human potential in unprecedented ways.

CV

Milad Morad works as an AI researcher at the Department Human-Centered Engineering & Design at Fraunhofer FIT and as a PhD candidate at the chair of Computer Science at RWTH Aachen University. He has been involved in Artificial Intelligence for over 6 years in different roles, including as a product owner in various AI software projects in research and industry. His current research focuses on Human-AI Teaming and the possibilities of adapting Foundation Models to corporate domains.

Linköping University, Department of Behavioural Sciences and Learning (Sweden)

Title

Bridging the Gap: Exploring AI literacy for Teachers and Students in a Transformative Educational Landscape

Abstract

In an increasingly AI-driven world, the importance of advancing AI literacy in the field of education, among pupils in school, in-service teachers, teacher students and teacher educators, has become evident. As artificial intelligence (AI) permeates society on a broad scale, the demand for individuals to develop necessary competencies to both harness and critically assess the transformative potential of AI is paramount. The concept of AI literacy, as elucidated by Long and Magerko (2020), underscores the fundamental skills essential for proficiently engaging with and evaluating AI applications. At the same time, although AI offers promising pathways for progress in education, the true scope of its impact remains partially obscured, prompting a call for deeper exploration through educational research and innovative pedagogical approaches.
While the Swedish research community has shown limited emphasis on AI literacy, globally there are various AI literacy initiatives, especially in K-12 education, as demonstrated by studies such as those by Miao et al. (2021) and Touretzky et al. (2019). This highlights the increasing acknowledgment of the need to equip both students and educators with the essential skills. Simultaneously, it is vital to underscore that in technology(AI)-infused classrooms, these skills are constantly evolving due to the pace of technological advancements.

By illuminating the concept of AI literacy and our ongoing research endeavours at Linköping University within AI and education, this presentation will provide a comprehensive overview of the challenges and opportunities posed by AI in educational contexts. To feed forward, the aim is to shed light on the critical competencies judged as essential for students and educators in the era of AI. Hence, the presentation is a contribution to the ongoing discourse on, how to prepare individuals for the transformative impact of AI. By bridging the gap between theory and practice, hopefully further dialogue and action will be nurtured towards fostering a future-ready educational landscape that has potential to address AI for the benefit of all stakeholders.

CV

Linnéa Stenliden is Professor within Educational Sciences, at Linköping University, Sweden. She is a dedicated researcher specializing in the intersection of artificial intelligence (AI) and education. With her academic background and passion for technology enhanced learning, Linnéa is at the forefront in the field of AI literacy within educational contexts (pupils in school, teacher students, teacher educators and in-service teachers). She is currently, principal investigator of the two participatory design projects: "AI literacy for Swedish Primary Education", funded by the Swedish Research Council (VR) and "AI literacy in Swedish Teacher Education" funded by the Wallenberg, Autonomous System Program for Humanities and Society (WASP-HS). Her recently published work explores topics such as competing visions of AI in education policy, the impact of AI on teachers' work in classrooms, and the importance of educating digital citizens. Linnéa's research underscores the significance of promoting AI literacy in education for society at large.

AI literacy for Swedish Primary Education

AI literacy in Swedish Teacher Education

Competing visions of AI in education policy

The impact of AI on teachers' work in classrooms

The importance of educating digital citizens

Kagawa University (Japan)

Title

Re-design in Homage to the Works of Kunibo Wada: The Challenge of AI and Student Designers

CV

Koji KIDA graduated from the Department of Information Engineering, Graduate School of Engineering, Okayama University, Japan, in 1993, and received a Doctor of Engineering degree from the Division of Reliability-based Information Systems Engineering, Graduate School of Engineering, Kagawa University, Japan, in 2007. In 1993, he joined NEC Central Research Laboratories, where he was engaged in research on groupware, search engines, and big data processing platforms. From 2014, he has been engaged in research and commercialization of malware detection at NEC Laboratories America. Since 2018, he has concurrently served in the Program in Computer Science, Systems, and Security Department of Engineering and Design at Kagawa University, Japan, and the University's Information Media Center. Currently, he is engaged in research on the application of artificial intelligence to security countermeasures. He received the Best Paper Award (dicomo2007 of IPSJ), the Best Patent Award (NEC 2015), and Innovation Grand Prix (CEATEC JAPAN 2017) etc. He is a member of Information Processing Society of Japan, Institute of Electronics, Information and Communication Engineers, and Institute of Electrical Engineers of Japan.

Abstract

Sometimes, an artist's work, though not well known to the public, becomes an integral part of a city's culture. Japanese artist Kunibo Wada from Kagawa is a prime example. While active as an artist and cartoonist, he also oversaw the branding of many stores in Kagawa and is widely recognized for his famous confectionery package designs. To preserve and develop his Kagawa-style designs, we are collaborating with AI and university students majoring in art and design to create new works inspired by Kunibo's legacy. In this presentation, I will introduce two research projects. First, I will discuss my research on creating a "Kunibo’s Kanji Font" using machine learning to analyze his handwritten characters. Unlike conventional machine learning, which focuses on transforming colors and patterns, this project aims to transform the shapes of Kanji characters. Second, we are developing generative AI to create a 3D virtual space based on Kunibo's landscape paintings. This research converts numerous photos of actual locations depicted in Kunibo's paintings into a virtual space that users can explore, rendered in his unique painting style. I will also present the results of my evaluation to the curator of the Kyuman Museum of Art, which owns a large number of Kunibo's works.