Generative AI: Pathways to Democratization, Transparency and Sustainability

© DWIH Tokyo

In an era defined by unprecedented advancements in Generative Artificial Intelligence (GenAI), understanding its implications is imperative. The transformative capabilities of GenAI, from creative content generation to automation and optimization, present boundless opportunities. However, with these promises come ethical challenges and societal impacts that demand careful consideration. Discussing GenAI is not just a conversation about technology; it is a crucial dialogue about shaping the future responsibly.

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This German-Japanese-French conference will address how to make GenAI democratic, transparent and sustainable. How can we ensure inclusive access to AI technologies and foster the creation of public and open-source models? How can we enhance the transparency of AI algorithms? How can we navigate the dual challenges of reducing the environmental footprint of Generative AI and enhancing its social equity, to create technologies that are both green and fair?

We invite researchers from all disciplines, backgrounds and career stages to join the interdisciplinary discussions and kick-off projects for future collaboration!

Program Draft

November 11

18:30-20:30  Reception at German Embassy for speakers & organizers

November 12

10:00-10:30  Greetings
       H.E. Dr. Clemens von Goetze / Dr. Hiroaki Kitano
10:30-12:00  Keynotes: “Democratization of GenAI” 3x 15min keynotes, 45 min discussion
        Prof. Dr. Junichi Tsujii (Chair) / Prof. Dr. Judith Simon / Dr. Arisa Ema
12:00-13:00  Lunch Break
13:00-14:30  Keynotes: “Transparency of GenAI” 3x 15min keynotes, 45 min discussion
        Dr. Anton Zimmermann (Chair) / Prof. Dr. Andreas Dengel / Prof Florence d’Alche-Buc / Dr. Yasuhiro Katagiri

14:30-15:00  Coffee Break
15:00-16:30     Parallel Workshops
        Industry 4.0 / Smart Manufacturing and GenAI
        Dr. Hiroyuki Sawada (Chair) / Dr. Michael Schrapp / Dr. Koichi Takahashi
        GenAI and the Future of Research
        Prof. Joséphine Galipon (Chair) / Dr. Ana Ilievska / Prof. Jean-Claude Crivello / Dr. Kentaro Torisawa
        Embodied AI and Human-Robot Interaction
        Prof. Jiré Gözen (Chair) / Prof. Dr. Maren Bennewitz / Dr. Jean-Baptiste Mouret / Dr. Tatsuya Harada
16:30-17:00  Coffee Break
17:00-18:00  Poster Presentations
18:00-20:00  Reception

November 13

10:00-11:30  Keynotes: “Sustainable GenAI” 3x 15min keynotes, 45 min discussion
        Florence Ho (Chair) / Johannes Leon Kirnberger / Prof Marc Duranton / Dr. Rio Yokota
11:30-12:30  Roundtable Discussions for future collaboration
12:30-13:30  Lunch
13:30-14:30  Recap session – Summary from each roundtable discussion

Speakers

Maren BENNEWITZ, Prof. Dr.

Professor for Humanoid Robots, University of Bonn
Website / LinkedIn

Maren Bennewitz is professor for Computer Science at the University of Bonn and head of the Humanoid Robots Lab. She is additionally with the Lamarr Institute for Machine Learning and Artificial Intelligence and has been PI in several national and European projects. She is a member of the executive board and steering committee of the Cluster of Excellence PhenoRob – Robotics and Phenotyping for Sustainable Crop Production and founding member as well as steering committee member of the Center for Robotics, University of Bonn.

Jean-Claude CRIVELLO, Dr.

Researcher at CNRS
Website

I am currently a senior researcher at the LINK lab (CNRS / NIMS / Saint-Gobain), an international French-Japanese CNRS unit located in Tsukuba. Additionally, I serve as the deputy director of the French research group on Material Science by Artificial Intelligence (GDR “”IA-MAT””).

My research focuses on solid-phase chemistry through thermodynamic modeling and electronic structure calculations, with an emphasis on materials such as hydrogen-absorbing intermetallic compounds. I predict phase equilibrium and investigate crystal lattice vibrational properties for mechanical stability. Utilizing cluster expansion theory, I also analyze disordered solutions. Recently, I am exploring methods as high-throughput DFT and machine learning algorithms to predict innovative materials as exemple for thermoelectricity and energy storage.

Andreas DENGEL, Prof. Dr.

Executive Director at DFKI GmbH, Kaiserslautern
Website / LinkedIn

Andreas Dengel is Professor at the Department of Computer Science at RPTU Kaiserslautern-Landau and Managing Director of the German Research Centre for Artificial Intelligence (DFKI) in Kaiserslautern as well as Head of the Smart Data & Knowledge Services research department at DFKI. Since 2009, he has also been a professor (kyakuin) at the Department of Computer Science and Intelligent Systems at Osaka Metropolitan University. He has received many awards for his work and scientific endeavours, including being selected by a jury on behalf of the Federal Ministry of Education and Research (BMBF) in 2019 as one of the most influential scientists in 50 years of AI history in Germany for his research in the field of document analysis. He is the recipient of the Order of Merit of the State of Rhineland-Palatinate and was honoured in 2021 in the name of His Majesty Emperor Naruhito with the oldest Japanese order, the ‘Order of the Rising Sun on the Necklace with Golden Rays’.

Marc DURANTON, Dr.

Senior Fellow, CEA (Digital Systems and Integrated Circuits Division)
Website / LinkedIn

Dr. Marc Duranton is a member of the Research and Technology Department of CEA, where he is involved in realizations for Artificial Intelligence, Edge to Cloud and Cyber Physical Systems. He previously worked in Philips Semiconductors and NXP where, among others, he led the development of the family of L-Neuro chips, digital processors for artificial neural networks. He is participating in the definition of the SRAs of ECS/KDT and of ETP4HPC, and is in charge of the roadmap activity of HiPEAC on High Performance, Edge And Cloud computing.

Arisa EMA, Dr.

Associate Professor, The University of Tokyo
Website

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, and her primary interest is to investigate the benefits and risks of artificial intelligence. She is also a member of the Japanese government’s AI Strategy Council launched in May 2023. Internationally, she is an expert member of the working group on the Future of Work, GPAI (Global Partnership on AI). She is an elected member of the UN Secretary General’s Advisory Body on Artificial Intelligence.

Jiré Emine GÖZEN, Prof. Dr.

Professor for Media and Cultural Theory / Vice-President International Affairs and University Development
Website / LinkedIn

Jiré Emine Gözen is a professor of media and cultural theory at the University of Europe for Applied Sciences in Berlin. She has been vice president of international affairs and university development since October 2023 and Chair of the German Society for Media Studies since September 2020.

Her research focuses on media cultural studies, media aesthetics, and visual culture, emphasizing AI, future technologies, posthumanism, and the visual construction of subversive masculinities. Influenced by critical theory, gender and queer studies, and new materialist perspectives, she explores the epistemologies underpinning human-machine relations. Having lived and worked in Japan at institutions such as the Mori Art Museum and 3331 Arts Chiyoda, she brings a global perspective to her research, engaging with marginalized perspectives and their entanglements with hegemonic understandings.

Florence HO, Dr.

Senior Researcher, NEC

Florence Ho is a senior researcher at NEC since 2023, where she conducts research on optimization methods for solving various industrial problems and applications. Before joining NEC, she was a researcher at AIST (National Institute of Advanced Industrial Science and Technology). Her research interests include multi-agent systems, optimization, metaheuristics, traffic management.

Ana ILIEVSKA, Dr.

Senior Research Fellow, Center for Science and Thought, University of Bonn
Website / LinkedIn

Dr. Ana Ilievska is Senior Research Fellow on the joint project “Desirable Digitalisation” between the Universities of Cambridge and Bonn, funded by Stiftung Mercator. Before coming to Bonn, she taught at Stanford University and has studied at the University of Chicago, Yale, Lisbon, Tübingen, and in Sicily. Her teaching and research focus on the critical role of the humanities in the age of digital technologies. Dr. Ilievska’s publications include various peer-reviewed articles, public scholarship, podcast appearances, and translations on literature and ChatGPT, the question of critical thinking and AI, and the ethos of Silicon Valley. Most recently, she translated Maurizio Ferraris’s book Webfare: A Manifesto for Digital Well-Being (transcript 2024) and hosted an international conference on Humanism and Artificial Intelligence (May 2024).

Yasuhiro KATAGIRI, Dr.

Director, Artificial Intelligence Research Center, AIST
Website

Yasuhiro Katagiri received his Ph.D in Information Engineering from the University of Tokyo in 1981. He worked in NTT Basic Research Labs. and ATR Research Labs. He was director of ATR Media Information Science Laboratories. He is currently president at Future University Hakodate. He is a fellow of Japanese Society of Cognitive Science, and president of The Japanese Association of Sociolinguistic Sciences.

Johannes Leon KIRNBERGER

AI Policy Advisor, Organisation for Economic Co-operation and Development (OECD)
Website / LinkedIn

Johannes Leon Kirnberger is a policy advisor for AI and sustainability at the AI Unit of the OECD Division of Science, Technology and Innovation (STI). He previously led the program on climate action and biodiversity preservation at the Global Partnership on AI (GPAI) and the International Centre of Expertise in Montreal on AI (CEIMIA). Johannes is a member of the UNEP Expert Group on Digital Tech for Circular Economy, advises the Intergovernmental Panel on Climate Change (IPCC) on the green and digital “twin transition” and serves as guest lecturer at the Technical University of Munich (TUM) on climate change and AI policy. He holds a Bachelor of Science in Management from ESCP Business School, a Master of International Public Management from Sciences Po, and a Master in International Affairs, Energy and Environment from Columbia University.

Jean-Baptiste MOURET, Dr.

Senior researcher, Inria
Website / LinkedIn

Jean-Baptiste Mouret is a senior researcher (“directeur de recherche”) at Inria, the national French institute dedicated to computer science and mathematics. His research work intertwines robotics and machine learning to make robots more adaptive. Before joining Inria, he was an assistant professor at Sorbonne Université, where he earned his Ph.D. in computer science in 2008. Mouret was the principal investigator of the ERC-funded project ResiBots (2015-2020), which aimed to develop robots that adapt to damage, and his work was notably featured on the cover of Nature (Cully et al., 2015).

Hiroyuki SAWADA, Dr.

Career Researcher, National Institute of Advanced Industrial Science and Technology (AIST)
Website

Dr. Hiroyuki Sawada is a Career Researcher at Industrial Cyber-Physical Systems Research Center in National Institute of Advanced Industrial Science and Technology (AIST) in Japan. He received B.E. and M.E. from the University of Tokyo in 1987 and 1989 respectively. He received Ph.D. from the University of Strathclyde, Scotland, in 2001. He joined Mechanical Engineering Laboratory (MEL) in 1989. From 1990 to 1992, he left MEL and worked at the Institute for New Generation Computer Technology (ICOT). His research interests include end-user development in manufacturing industry for digital transformation.

Michael SCHRAPP, Dr.

Global Head of Industrial AI, Siemens Digital Industries
Website / LinkedIn

Dr. Michael Schrapp is the Global Head of Industrial AI Innovations at Siemens Digital Industries. He holds a PhD in Physics from the Technical University Munich, a Master in Theoretical Physics from the Technical University Munich & Utrecht University, and a Master in Stochastic Engineering in Business and Finance from the University of Applied Sciences Munich. Prior to his current position, he was the Director of Data Analytics & Customer Services at Siemens Healthineers.

Judith SIMON, Prof. Dr.

Professor for Ethics and Information Technologies, University of Hamburg
Website

Judith Simon is Full Professor for Ethics in Information Technologies at the Universität Hamburg. She is interested in ethical, epistemological and political questions arising in the context of digital technologies, in particular in regards to big data and artificial intelligence. Judith Simon is a member of the German Ethics Council, where she was the spokesperson for the report on the ethics of AI. She currently serves on various other committees of scientific policy advice and has been a member of the Data Ethics Commission of the German Federal Government (2018-2019). She is the editor of the Routledge Handbook of Trust and Philosophy(2020).

Kentaro TORISAWA, Dr.

NICT Fellow/National Institute of Information and Communications Technology (NICT)
Website

Kentaro Torisawa graduated from the University of Tokyo in 1992. After receiving an MSc in Computer Science from the Graduate School of Science of the University of Tokyo, he became an assistant professor in the university in 1995. In 2001, he was appointed associate professor at the Japan Advanced Institute of Science and Technology. Since 2008, he is working at NICT and has been an NICT fellow since 2020. He has been awarded many awards/grants including the JSPS prize and Twitter Data Grants.

Junichi TSUJII, Prof.Dr.

Fellow, Artificial Intelligence Research Center, AIST
Website

Professor Junichi Tsujii is a Japanese computer scientist specializing in natural language processing and text mining, particularly in the field of biology and bioinformatics. He graduated from Kyoto University Graduate School in 1973, obtaining a PhD in engineering. He became Associate Professor at Kyoto University in 1973, Professor at Manchester University in 1988, Professor at Tokyo University Graduate School in 1995, and Principal Researcher for Microsoft Research Asia (Beijing) in 2011 before taking on his current position as Director of AIRC in 2015 and Fellow of AIST in 2017. He still holds a Professorship at Manchester University.

Rio YOKOTA, Dr.

Professor, Institute of Science Tokyo, Supercomputing Research Center
Website

Rio Yokota is a Professor at the Global Scientific Information and Computing Center, Tokyo Institute of Technology. His research interests lie at the intersection of high performance computing, linear algebra, and machine learning. He is the developer numerous libraries for fast multipole methods (ExaFMM), hierarchical low-rank algorithms (Hatrix), and information matrices in deep learning (ASDL) that scale to the full system on the largest supercomputers today. He has been optimizing algorithms on GPUs since 2006, and was part of a team that received the Gordon Bell prize in 2009 using the first GPU supercomputer. Rio is a member of ACM, IEEE, and SIAM.

Anton ZIMMERMANN, Dr.

Postdoctoral Researcher
Website / LinkedIn

Legal studies at Heidelberg University (Germany), first state exam, 2016; Ph.D. in private law, 2020; second state exam (German judicial/bar exam), 2021; studies of economics (University of Hagen, Germany); postdoctoral researcher since 2021 and, starting in summer 2024, leader of a junior research group funded by the German Research Foundation at Heidelberg University (Institute for comparative law, conflict of laws and international business law). Current fields of research include private law, law and technology as well as the interplay of public and private international law as governance instruments.

Poster Presentations

Related information

This conference builds on the success of the three trilateral AI symposia in 2018, 2020 and 2022, which connected more than 200 speakers and 1000 participants and initiated AI cooperation between Japan, Germany and France in various fields.

1st AI Symposium: www.dwih-tokyo.org/ai1
2nd AI Symposium: www.dwih-tokyo.org/ai2
3rd AI Symposium: www.dwih-tokyo.org/ai3

Event Information

November 12 to 13, 2024

Akasaka Intercity Conference Center Tokyo (tbc)
Organizer(s): DWIH Tokyo, Embassy of France in Japan, AI Japan R&D Network / Supported by: Japan Science and Technology Agency (JST), Japan Society for the Promotion of Science (JSPS)

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