The 3rd Japanese-German-French
AI Symposium– AI for Planetary Challenges
in the Anthropocene –At the 3rd trilateral symposium on Artificial Intelligence (AI), stakeholders from academia, industry
and policy-making will discuss measures to tackle planetary challenges that humankind is facing in
the Anthropocene and share their visions for realizing a sustainable society.
Following the 1st and 2nd trilateral symposia in 2018 and 2020, which welcomed more than 150
distinguished speakers and 1,300 participants, the 3rd symposium in Tokyo will feature plenary andparallel sessions on various current AI topics and provide networking opportunities to further
promote trilateral collaboration.

Date:

27–28 October 2022 (10:00-18:00 JST)

Venue:

Miraikan (The National Museum of Emerging Science and Innovation) / Tokyo

Organizers:

AI Japan R&D Network
DWIH Tokyo (German Centre for Research and Innovation Tokyo)
Embassy of France to Japan

Language:

EnglishMain Organizers

AI Japan R&D Network
DWIH Tokyo (German Centre for Research and Innovation Tokyo)
Embassy of France to Japan

Co-organizer
Japan Science and Technology Agency

Websitewww.trilateral-ai-symposium.com

Social Media Coverage2

Contents
Program.………………...………………………………………………………………………………4
Welcome messages…………………………………………………………………………..…….6⚫
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Hiroki Matsuo (Cabinet Office, Japan)
Prof. Dr. Joybrato Mukherjee (German Academic Exchange Service)
Prof. Dr. Ina Schieferdecker (Federal Ministry of Education and Research)⚫
⚫

Vito Cecere (German Federal Foreign Office)Claire Giry (French Ministry of Higher Education and Research)

Session Outlines and Contributors
Day 1 (Oct 27)…………………………………………………………………………..……………11⚫
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Opening Remarks
AI for Climate Change Adaptation

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AI for Sustainable & Smart Cities
AI for Disaster Risk Assessment
AI in Agriculture
AI for a Sustainable Society
Presentation of Japan-Germany-France Joint Research Projects

Day 2 (Oct 28)…………………………………………………………………….………………….19⚫
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Geopolitics & Governance of AI
AI Shooting Stars

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AI for Biodiversity
Trustworthy AI
Education for an “AI Ready Society”
AI & Cybersecurity
Regulation & Democracy of AI
AI for HealthWrap-up & Closing Remarks

Organizers & Supporters…………………………………………………………….………….30

3

Program
Day 1 – October 27, 2022 (Thursday)
10:00 – 10:30

Opening Remarks
Shoji Watanabe
H.E. Dr. Clemens von Goetze
H.E. Philippe Setton
Dr. Hiroaki Kitano

10:35 – 12:00

Plenary Session: AI for Climate Change Adaptation

12:00 – 13:00
13:00 – 14:30

Lunch BreakParallel Sessions
AI for Sustainable &AI for Disaster Risk

Smart Cities

Assessment

AI in Agriculture

14:30 – 15:00

Coffee Break

15:00 – 16:25

Plenary Session: AI for a Sustainable Society

16:30 – 18:00

Special Session: Presentation of Japan-Germany-France Joint Research
Projects

18:15 – 20:00

Reception (for speakers and organizers)

4

Program
Day 2 – October 28, 2022 (Friday)
10:00 – 11:25

Plenary Session: Geopolitics & Governance of AI

11:30 – 12:30

Special Session: AI Shooting Stars (Startup Pitches)

12:30 – 13:30
13:30 – 15:00

Lunch BreakParallel Sessions
AI for Biodiversity

Trustworthy AI

15:00 – 15:30
15:30 – 17:00

Coffee BreakParallel Sessions
AI & Cybersecurity

17:05 – 18.00

Education for an “AI
Ready Society”

Regulation &Democracy of AI

AI for HealthWrap-up & Closing Remarks

5

Welcome messages

Hiroki Matsuo
Vice – Minister / Secretary General for Science, Technology andInnovation Policy, Cabinet Office, Government of JapanI am pleased that this symposium, which is in the third round, can be held again on site this time. I
would like to express my deep gratitude for the great efforts made by the stakeholders, including
the organizers of the symposium.
The COVID-19 pandemic has caused major changes in societies all over the world. In Japan, there
are major impacts on health and medical care for the people and the economy. On the other hand,efforts toward digitalization have become active in various fields. In a digitized society, AI is an
important technology that is key to both economic development and solving social issues.
In Japan, "AI Strategy 2022" was formulated in April 2022. To contribute to global problem solutions(SDGs), overcome social issues unique to Japan, and improve industrial competitiveness, various
initiatives are being promoted to enhance social implementation and to deal with imminent crises
such as pandemics and natural disasters.
There is a lot of room for technological improvement in AI, and new breakthroughs are awaited. In
an environment of good global intellectual circulation, creation of innovation and human resource
development are required. On the other hand, along with the expansion of AI use, issues related to
AI use, such as ethical issues, have become recognized. I hope that further deepening of cooperative
relations among the three countries through the discussions at this symposium will become thedriving force for solving these issues.

6

Prof. Dr. Joybrato Mukherjee
President of the German Academic Exchange Service (DAAD)

Sharing similar values, our three countries have tremendous potential for collaboration in Artificial
Intelligence (AI).
In view of the enormous challenges in the Anthropocene - from pandemics to the consequences ofclimate change and biodiversity loss - it is more necessary than ever for all countries to act together
as a global community. However, since Russia's invasion of Ukraine, we live in a new 'world disorder,'and it is important that we stand up for democratic values, for peace and for freedom of thought.
These are values we are sharing with our Japanese and French partners and they are also reflectedin this event series.
In 2018, DWIH Tokyo initiated the first Japanese-German-French AI symposium, culminating in theannouncement of a joint statement for intensified collaboration based on a human-centeredapproach. In 2020, the French side took the lead in the second trilateral symposium on the topic of
Human-Centric AI. Now, the Japanese side took the initiative for this third trilateral symposium on“AI for Planetary Challenges in the Anthropocene”. I would like to thank all our partners for the
wonderful collaboration leading up to this event.
Germany is committed to promoting world-leading expertise in AI. In recent years, 100 new
professorships in AI and six national AI competence centers have been established. In addition, justthis year three “Zuse Schools” have been selected, each combining excellent, research-based
education at Master’s degree and PhD level with supervision from mentors from both academia andindustry. The Zuse Schools are welcoming international applicants and will also be represented at
this symposium.
This symposium offers a wide array of perspectives and provides an outstanding forum for
networking between Japan, Germany and France, as well as between science, industry and policymaking. I wish all participants fruitful exchanges, vibrant discussions, and inspiring new ideas!

7

Prof. Dr. Ina Schieferdecker
Director General, Federal Ministry of Education and Research(BMBF)

After the last two AI symposia, one of which could only take place virtually due to the effects of thepandemic, I am now glad that this valuable event will continue and will again take place in presence.
I would like to express my appreciation to all the people involved and the organising team.
We live in difficult times and difficult times require innovative technologies, solutions and creativeminds to implement them. AI is one such technology. In Germany, with the AI Strategy from 2018
and its update in 2020, we have created the framework conditions to build an AI ecosystem thatdrives cutting-edge research, attracts young talents and thus fuels research transfer, the founding ofAI start-ups, networking and cooperation. We have reached milestones acquiring 100 new
professors for AI for German Universities, in supporting SME in taking up AI developments and inestablishing AI competence centres for a consistent and long-term perspective for AI research inGermany.
Especially, for the development and use of technologies such as AI, strong partnerships that operate
in a common value system are essential in order to use AI to master pressing challenges such as
climate change, digital transformation, etc., and to act for the benefit of humans. The cooperation
with Japan and France in the past have led to a strong alliance. To this end, it is important that we
remain in exchange, advance the collaborations and increase our joint visibility. The AI Symposium
is a wonderful opportunity to engage in exchange and discuss new approaches.

8Vito Cecere
Director for Research and Academic Relations Policy, Department
for Culture and Communications, German Federal Foreign Office

I want to congratulate the AI Japan R&D Network, the German Centre for Research and Innovationin Tokyo and the French Embassy in Japan, for organising the Trilateral Symposium on Artificial
Intelligence for the third time.
The Federal Foreign Office is proud to support the network of six German Centres for Research andInnovation worldwide. They are an integral part of our science diplomacy, through which we connect
science and foreign policy.
Global challenges like climate change and sustainable development can only be mastered throughintensive international cooperation in the fields of science and politics. That is the reason why theGerman Government, and the Federal Foreign Office in particular, are now placing special emphasis
on our climate diplomacy, which encompasses a very wide range of policies, including the fosteringof climate-friendly and sustainable technologies.
France, Germany and Japan share common values and face similar challenges in their societies.
Artificial intelligence can be an important tool in understanding, tackling and solving the big
challenges of our time. Therefore, I very much welcome the fact that in its third edition the trilateral
symposium will broaden its perspective under the title “AI for Planetary Challenges in the
Anthropocene”.
I want to thank the three institutions, the AI Japan R&D Network, the Embassy of France in Japanand the German Centre for Research and Innovation, for making this important symposium possible
once again. I wish all of you, the organisers, the many distinguished speakers and the participants,
very fruitful discussions full of exchanges of knowledge and ideas about the potential of artificial
intelligence for improving and safeguarding our world!

9

Claire Giry
Director General of Research and Innovation, French Ministry ofHigher Education and Research

In November 2018 was launched the first edition of the France Germany Japan symposium on
Artificial Intelligence. Our three countries had just announced their national strategy and we sawthat we shared common values and faced comparable social challenges.
Last year, France announced the second phase of its strategy on AI, mainly aiming at turning R&D
potential into economic success. In line with the ambition of France 2030, talent is at the heart ofthis strategy, which will foster clusters of excellence and include an international scope reflecting
France’s ambition to play a reference role in the field of AI. As part of a broader training strategy, theplan will provide our ecosystem of startups and companies with the skills they sorely need for their
ongoing transformation and competitiveness in some specific emerging technologies. In particular,
embedded AI, edge computing and trustworthy AI, are essential technologies for the developmentof cutting-edge innovations in many key sectors such as industry 4.0, energy, transportation or
healthcare industry.
However, Artificial Intelligence has an impact on our behavior, on our ways of life, on our societies
as well as on the environment, impact that we are just beginning to measure. It also raises a numberof ethical issues and could even call into question our democracies.
This is why we need to create adequate systems, regulations and funding frameworks in order torestructure education, training, research and adapt them to the transformations brought by AI. We
should never forget that the key driver for innovation should not only be technological progress, but
progress for the benefit of all of humanity and our planet itself.
In this context, during the 3rd edition of this symposium, players from all backgrounds, whether they
are from different countries, from industry or academia, scientists or humanists, will share theirvision on the need to cooperate and exchange, in order to combine our efforts to build a world that
benefits from the progress related to AI.
Finally, I am delighted with this trilateral cooperation, with valuable partners for France: of course,
our German neighbors with whom cooperation in the field of artificial intelligence is accelerating,and Japan, to which France is going to pass on the presidency of the 3rd year of the Global
Partnership for AI, Japan who will also host the 3rd edition of the GPAI summit in Tokyo in November
2022.
I wish you all an excellent symposium and fruitful exchanges.

10Day 1 – October 27, 2022 (Thursday), 10:00 – 10:30

Plenary Session, Miraikan Hall

Opening Remarks
Speakers
Shoji Watanabe
Deputy Director-General, Cabinet Office Japan

H.E. Dr. Clemens von Goetze
Ambassador of the Federal Republic of Germany to Japan

H.E. Philippe Setton
Ambassador of France to Japan
Dr. Hiroaki Kitano
Chairperson of the AI Japan R&D Network; Senior Executive Vice President and
CTO, Sony Group; President and CEO, Sony Computer Science Laboratories Inc.

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Day 1 – October 27, 2022 (Thursday), 10:35 – 12:00

Plenary Session, Miraikan Hall

AI for Climate Change Adaption
OutlineDespite the initiatives taken so far to mitigate the effects of climate change, we, in fact, are alreadyfacing its consequences. The timescales of these effects include short-term but dramatic societal
problems as well as long-term ecological and socio-economic effects. Defining the best courses ofaction to be implemented in order to help ecosystems, societies, and infrastructures to adapt to all
the various consequences of climate change is an extremely complex issue, requiring theintersection of a multitude of scientific fields, including the social sciences and humanities. How
could AI help policymakers design realistic strategies and implement effective policies, at local andglobal scales? How could AI help inform civil society to anticipate impact? What role can companies
and start-ups play to accompany public policies?
In this plenary session, experts from the three countries will share their visions of how AI cancontribute to better adaptation and ultimately to greater societal resilience in regard to the effects
of climate change and the benefits of developing international cooperation.

Speakers
Prof. Dr. Ronan Fablet (Chair)
Professor, IMT AtlantiqueProf. Masahiro Watanabe
Professor, Division for Climate System Research, Atmosphere and Ocean
Research Institute (AORI), The University of Tokyo
Prof. Dr. Prof. h.c. Andreas Dengel
Executive Director DFKI GMBH, Kaiserslautern & Prof. for Science TU
Kaiserslautern

12Day 1 – October 27, 2022 (Thursday), 13:00 – 14:30

Parallel Session, Miraikan Hall

AI for Sustainable & Smart Cities
OutlineCities play a key role in the transition to a sustainable society: While worldwide urbanization
continues, cities already consume about 78% of the world’s energy and produce more than 60% of
greenhouse gases. At the same time, policymakers and scientists provide inspiring visions of carbonneutral smart cities, which employ a variety of AI applications, often based on embedded AI; forexample, to increase energy efficiency, carbon-free mobility and resilience. Most people in Japan(92%), France (81%), and Germany (78%) already live in cities. Japan makes smart and sustainable
cities a core element of its “Society 5.0.”
In this session, experts from the three countries will provide examples of how AI can help
decarbonise cities, discuss challenges, and look for opportunities to collaborate internationally.

Speakers
Prof. Dr. Katharina Morik (Chair)
Professor, TU Dortmund, Germany

Prof. Nobuo Kawaguchi
Professor, Institutes of Innovation for Future Society, Nagoya University
Prof. Noboru Koshizuka
Professor, Interfaculty Initiative in Information Studies, The University ofTokyo
Dr. Martin Memmel
Head of SmartCity Living Lab at the German Research Center for Artificial
Intelligence (DFKI)
Dr. Rémy Rigo-Mariani
Research Scientist, Université Grenoble Alpes, CNRS, G2Elab

Dr. Levent GürgenCEO of Kentyou; President of Urban Technology Alliance13Day 1 – October 27, 2022 (Thursday), 13:00 – 14:30

Parallel Session,
Conference Room Mercury+Mars+Venus

AI for Disaster Risk Assessment
OutlineDue to climate change, the frequency and magnitude of abnormal weather events, such as storms,
droughts, floods, heat waves, and cold waves, are increasing. To address this global crisis, it isessential to collect, share, and use large-scale data through international collaboration. In addition,
artificial intelligence technology based on massive data obtained through accurate observations,continuous measurements or voluntary data (e.g. social media) is essential to predict disasters andthe damage they cause, and to develop strategies that can be applied to various situations. Moreover,building digital architectures that use data is essential to enable rapid and real-time response todisasters.
In this session, experts from the three countries will discuss how AI technology can be used toprepare for these risks and respond quickly when faced with them.

Speakers
Dr. Masashi Matsuoka (Chair)
Professor, Department of Architecture and Building Engineering, School ofEnvironment and Society, Tokyo Institute of Technology
Dr. Minh-Son Dao
Senior Researcher, Big Data Integration Research Center, National Institute ofInformation and Communications Technology (NICT)Dr. Carolin Klonner
Postdoc at the Chair of GIScience, Institute of Geography, Heidelberg
University
Dr. Ing. Ralph Matthias Debusmann
Chief Technology Officer, Forecasty.AI
Prof. Dr. Marc Bocquet
Professor at École des Ponts; Deputy director of CEREA, joint laboratory of EdF
R&D and École des Ponts.
Dr. Cécile Gracianne
Data analyst, BRGM
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Day 1 – October 27, 2022 (Thursday), 13:00 – 14:30

Parallel Session, Conference Room SaturnAI in Agriculture
OutlineAgriculture is one of the world’s major contributors to climate change and, at the same time, isdirectly impacted by its consequences. The sector also faces the immense challenge of meeting therising food demand of a growing world population despite a lack of human resources, especially incountries like Japan, Germany, and France. AI, and more specifically embedded AI, can pave the way
to sustainable farms that engage in environmentally friendly production in a manner as efficient as
mass production.
In this session, experts from the three countries will discuss which milestones need to be passed toleverage the potential of AI for sustainable and environmentally-friendly agriculture on a global level.
They will also discuss ongoing collaboration between Japan, France, and Germany in this field andhow these collaborative efforts can and should be improved in the future.

Speakers
Prof. Dr. Sonoko D. Bellingrath-Kimura (Chair)
Co-Head of Research Area Land Use and Governance, Leibniz Centre for
Agricultural Landscape Research (ZALF)
Dr. Yuko Harayama
Professor Emeritus, Tohoku University
Dr. Takahiro Kawamura
Administrator of Data Management, Strategic Planning Headquarters,
National Agriculture and Food Research Organization （NARO）
Prof. Dr.-Ing. Cornelia Weltzien
Professor at TU Berlin, chair of Agromechatronics, and head of department“Engineering for crop production” at Leibniz Institute for AgriculturalEngineering and Bioeconomy
Alexis Comar, PhD
CEO of HIPHEN SAS

Julien Diot
Ph.D Student, The University of Tokyo; Data-Scientist, Listen-Field Inc.

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Day 1 – October 27, 2022 (Thursday), 15:00 – 16:25

Plenary Session, Miraikan Hall

AI for a Sustainable Society
Outline
The transition to a sustainable society is essential to ensure peace and prosperity for people aroundthe globe, and the 17 Sustainable Development Goals (SDGs) illustrate how various factors must be
interconnected to achieve sustainable development. What role can AI play in this transition? Highhopes are placed on AI to solve technical challenges, such as environmental and health problems,
but AI applications can also hinder social progress by increasing discrimination and violating
individual freedom.
In this plenary session, experts from the three countries will share their visions of how AI cancontribute to the transition to a sustainable society.

Speakers
Prof. Dr. Prof. h.c. Andreas Dengel (Chair)
Executive Director DFKI GMBH, Kaiserslautern & Prof. for Science TU
Kaiserslautern
Dr. Kentaro Torisawa
Fellow, National Institute of Information and Communications Technology(NICT)
Prof. Dr. Elisabeth André
Full Professor, Chair, Augsburg University, Germany

Dr. Marc Duranton
French Alternative Energies and Atomic Energy Commission (CEA)16Day 1 – October 27, 2022 (Thursday), 16:30 – 18:00

Special Session (plenary), Miraikan Hall

Presentation of Japan-Germany-France Joint Research Projects
OutlineThere has been remarkable progress in AI research in recent years and the accomplishment of AI
brings a tremendous opportunity. Under this situation, "Trilateral AI Research" project in the field ofArtificial Intelligence has been coordinated by Japan, Germany and France, and now proceeded by
Japan Science and Technology Agency (JST), German Research Foundation (DFG, Germany) and The
French National Research Agency (ANR, France).
9 research teams have been selected and now they are working on research as scheduled fromFY2020 to FY2023. This time, these 9 teams will intermediately present their research achievement.

Projects⚫

AI for Aging societies: From Basic Concepts to Practical Tools for AI-Facilitated Cognitive
Training (AI-Cog)
This collaborative research aims to optimize the decodable information about the functional
state of the brain, to identify biomarkers that indicate the risk for cognitive impairments anddifferent forms of dementia, and use these improved methods to guide AI facilitated cognitive
training. We will develop novel, dedicated machine learning (ML) methods and adapt themto human brain signals, will make our methods in an open source software, focusing on
unsupervised learning, data augmentation, domain adaptation, and interpretable machinelearning models.

⚫

Artificial Intelligence for Human-Robot Interaction (AI4HRI)
Europe and Japan both face problems of shrinking and aging population, and using social
robots is seen as a possible way of alleviating demographic issues. Robots need to be able tointeract with people and this is studied in the field of Human-Robot Interaction (HRI). But
dealing with humans is difficult, and HRI is still not making enough use of AI technologies. The
goal of the AI4HRI project will be to both develop and integrate several AI methods which willallow social robots to appropriately deal with humans around them. This includes 3 abilities
that we believe are currently missing in HRI: knowledge management and reasoning, learningof social skills, and planning and executing joint human-robot actions. Each partner in the
project is a leading expert in one of these fields and the project will benefit from their synergy.
Importantly, the above abilities will be combined into a single open-source architecture andshared with other researchers.

⚫

Learning Cyclotron (LeCycl)
This collaborative research is about "Learning Augmentation". Its goal is to propose andexprimentally validate a new model called "Learning Cyclotron", which covers not only the
self-learning with advance sensing technologies but also nudging knowledge transfer
between learners to make the model disruptively innovative.
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⚫

Research on Real Time Compliance Mechanism for AI (RECOMP)
This collaborative research aims to enhance reliability of AI in society to realize real timecompliance mechanism such as legal and ethical norms using logic programming technology.

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Enhanced Data Stream Analysis: combining the signature method and machine learningalgorithms (EDDA)
By introducing the concept of iterated integrals (signature) in rough path theory to machinelearning algorithms, this project aims to develop a highly interpretable framework of timeseries analysis that can deal with nonlinear effect properly and to find a new direction of
applications to environmental sciences. Because the new framework of statistical analysis isbased on rough path theory and machine learning, it is indispensable for the development togather the experts in rough path theory from German and French side, the experts in machinelearning from French side, and the experts in applied data analysis from Japanese side.

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Adaptive Artificial Intelligence for Human Computer Interaction (PANORAMA)
This collaborative research aims at proposing a new research methodology for MachineLearning-based Human-Computer Interaction by focusing on the concept of user adaptivity.

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Understanding and Creating Dynamic 3D Worlds towards Safer AI (TOSAI)This collaborative research aims to enable the generation of photorealistic, critical and rarescenes of dynamic environments. To achieve this, the technical goal is to push the state-ofthe-art for rich 3D representations, including appearance, geometry, and dynamics, as well as
semantic aspects.

⚫

AI empowered general purpose assistive robotic system for dexterous object manipulation
through embodied teleoperation and shared control (CHIRON)
This collaborative research investigates challenges in tele-operation of robots such as delay
and lack of feedback sensation through combination of embodiment and smart AI. The
research will enable elderly and patients to operate robots intuitively and would lead toreconstruct social welfare system to improve their independent life.

⚫

Knowledge-enhanced information extraction across languages for pharmacovigilance(KEEPHA)This collaborative research aims to develop Artificial Intelligence methods that digest
scientific knowledge from various text sources in multiple languages, and integrate them into
knowledge bases. Adverse Drug Reactions are taken up as an application for extracting
relations between drug and medical problems.

18Day 2 – October 28, 2022 (Friday), 10:00 – 11:25

Plenary Session, Miraikan Hall

Geopolitics & Governance of AI
OutlineHow AI technology is utilised depends largely on the socio-political environment of a society and on
who owns and controls the technology. While AI technology has great potential for wealth creationand improvement of human life, it could, if misused, reinforce wealth inequality, bring about an
extreme surveillance society, transform military technology, and intensify competition amongst
nations. AI technologies could also increase social divisions and vulnerability, due to manipulationof public opinion, and infringement of personal privacy and dignity. In particular, the oligopoly of AI
technology by a nation and/or big capital hinders the use of AI in broad areas that would otherwise
benefit from it.
France, Germany, and Japan have shared the conception and have been discussing how we can join
forces to develop AI for Social Good under the banner of “Human-Centric” AI.
In this session, by deepening this vision, experts from the three countries will discuss how to formsocial consensus in our diversified society regarding balance of regulations and freedom ofindividuals and companies, and how the three countries can share resources and ideas to achieve
our vision.

Speakers
Prof. Dr. Junichi Tsujii (Chair)
AIST Fellow, and Director, Artificial Intelligence Research Center, National
Institute of Advanced Industrial Science and Technology (AIST)
Yoichi Iida
Deputy Director General for G7 and G20 Relations, Global Strategy Bureau,
Ministry of Internal Affairs and Communications, Government of Japan; Chairof Committee on Digital Economy Policy, OECD
Prof. Dr.-Ing. Ina Schieferdecker
Director General, Federal Ministry of Education and Research (BMBF)

Prof. Dr. Stéphane Grumbach
Research Director, INRIA

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Day 2 – October 28, 2022 (Friday), 11:30 – 12:30

Special Session (plenary), Miraikan HallAI Shooting Stars (Startup Pitches)
OutlineJapanese, German and French start-ups that utilize artificial intelligence in their businesses will pitchon their cutting-edge products and services.

Speakers
AiCAN Inc.
Child abuse is listed in SDG 16.2.. Responding to child abuse is achallenging task because it requires quick and appropriate decisionmaking in the face of only incomplete and uncertain information. Our
company is a group of professionals with domain knowledge of childwelfare and data analysis skills. We provide one-stop support for
improvement of child protection by accompanying the client in setting
up on-site issues, providing business data creation applications, andsupporting decision-making through AI analysis of data accumulated
from the applications and feedback to child protection workers. We
contribute to child safety by integrating the power of people and digitaltechnology.

Fairy Devices Inc.
Fairy Devices provides an AI-based end-to-end solution to enterprises
for industrial digital transformation. Our solution covers from a uniqueneck-worn wearable device to cloud and AI.
Our device allows wearers to use their both hands and share what they
do with remotely located assistant(s) real-time. Remote assistants cangive timely advice or suggest necessary actions, based on this point-ofview video from 4K camera in front of the device. This device part only
won three Innovation Awards at CES2022.
Our strong voice AI at edge device removes industrial noises andrecognizes conversations effectively, automatically annotating video
data with texts converted from speech and generating truly eligible data
for machine learning. That builds a strong AI expert at cloud for
operational optimization and task automation.

Synapse Medicine
Synapse Medicine’s mission is to provide everyone access to the best
medicine. The startup, which collaborates closely with the largest French
university hospitals, has developed a Medication Intelligence platform

20

dedicated to proper drug use. As a leader in its category, the solution is100% independent from the pharmaceutical industry and is used today
by thousands of healthcare professionals.

Kentyou
Kentyou has been founded as a spin-off from CEA, a world leading
research institution from France, to help cities for their digitaltransformation enabling them with necessary software platforms andtools to face their important social, economic and environmental
challenges. Cities are struggling to get value out of big amount of data
available everywhere (IoT devices, open data, citizen applications, etc.),
because of the quantity, variety and heterogeneity of data. Kentyou has
built an AI-empowered software platform which can quickly and easily
connect to a large number of data sources, unify their data and process
them to obtain high level actionable information to assist the cities intheir decision making process.
HIPHEN
Hiphen is a spin-off from INRA and a member of UMT CAPTE, a scientificresearch unit that develops tools and methods for the efficient use of
sensors and remote sensing in agriculture.
Hiphen was created in 2014 and offers a wide range of plant
phenotyping products and services to various agriculture players –from breeders to wholesalers, agro-industry companies, and research
institutes.
The company works has 3 main solutions in its catalog: Phenoscale aturn-key solution for drone and satellite data processing ofexperimental plots, Phenomobile an automated tractor-based
phenotyping solution, and Phenostation allowing to measure crops incontrolled environment (vertical farming) and fruits quality in a postharvest mode.
Hiphen’s team of 25 engineers, agronomists, and software developers
continue to largely invest in R&D efforts, notably to ensure that thelatest AI techniques are supplemented by the knowledge of plantmechanics. For instance, we have developed Cloverfield, a big data SAAS
platform using deep learning to process the data into meaningful
insights for our clients.

Forecasty.AI
Forecasty.AI offers AI-based forecasting-as-a-service – driven by acloud-based platform and best-of-breed Machine Learning and Deep

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Learning models. Our main product is “Commodity Desk” which helps
procurement managers, sellers and traders to predict commodity
prices. We have also successfully tackled other domains such as demandand sales forecasting.
To capture forecasting in times of crises such as natural catastrophes orwars, our engine includes a Natural Language Processing-based realtime engine for sentiment classification. We have also worked on
information obtained by using satellite image classification – e.g. tomonitor crops and mines.

aivious GmbHaivious is a German software company based in Munich. We focus on
customized documentation processes, AR-guided image creation anddamage detection on vehicles based on latest AI methods. With our
product it is possible to optimize time-consuming and cost-intensive
assessment and documentation procedures in a tamper-proof manner.
Analog processes are digitized, making manual inspections during
vehicle handovers a thing of the past. This ensures a seamlessdocumentation chain. In addition, the standardized image creation
minimizes the risk of errors drastically. For example, a vehicle inspection
takes no more than a minute and can be performed by anyone without
training via app on a standard cell phone. The AI technology we havedeveloped can of cause be used for all image-based documentation
processes, not only for vehicles.

Metis Neurotec
METIS is a spin-off venture from the Karlsruhe Institute of Technology(KIT). We want to make it possible for everyone to make the best use of
their mental capabilities throughout life.
METIS develops a digital platform for people with a high risk ofdeveloping dementia. By addressing the individual risk factors of apatient, we aim for positive lifestyle interventions to improve their brain
health. The METIS platform provides a digital interface to help
physicians to identify patients’ risk factors and plan interventions. Our
app provides the patient with automated tracking through wearable
technology. Additionally to AI assistants, the patients are also connected
to expert coaches who can help them precisely.

22

Day 2 – October 28, 2022 (Friday), 13:30 – 15:00

Parallel Session, Miraikan Hall

AI for Biodiversity
Outline
The unprecedented decline of biodiversity threatens the environmental and societal balance
worldwide. Therefore, knowledge about biodiversity and its evolution is a major scientific andsocietal challenge. AI can make significant contributions with new dedicated solutions involving
complex systems integrating heterogeneous elements and information. It can also help predict
management actions and the effectiveness of public policies.
In this session, experts from the three countries will present initiatives using AI and, given theurgency of the situation, explore the potential of international cooperation to accelerate thedevelopment and deployment of effective solutions to stop the decline of biodiversity and even to
restore it.

Speakers
Dr. Samuel Chaffron (Chair)
Researcher at CNRS and Nantes University
Prof. Yasuhiro Kubota
Professor, Biology Program, Faculty of Science, University of the Ryukyus
Dr. Keisuke Atsumi
Data Scientist, Biome inc.
Prof. Dr. Tim W. Nattkemper
Professor, Bielefeld University, Germany
Dr. Christian Boehm
Government official, Federal Ministry of Education and Research Germany(BMBF)
Prof. Dr. Alexandra Mendoza-Caminade
Full Professor of Law, Toulouse Capitole University
Diogo Costa Cunha
PhD Candidate, Toulouse Capitole University

23

Day 2 – October 28, 2022 (Friday), 13:30 – 15:00

Parallel Session,
Conference Room Mercury+Mars+Venus

Trustworthy AI
OutlineAI technologies, particularly machine learning, are used in the scientific, social, and economic
spheres. They are deployed in a rapidly expanding range of applications around the world, in somecases having a direct impact on human autonomy. However, these technologies face the difficulty of
producing a simple explanation of decisions, of potential biases in those decisions, and otherlimitations as well. In order to enable the evaluation and certification of algorithms so that they are
no longer "black boxes," the variety of reliability, safety, and security issues of deep learning andother machine learning techniques must be addressed before their widespread application emerges.
In this session, experts from France, Japan, and Germany will share their visions of trustworthy AI
and discuss how to strengthen collaboration between the three countries.

Speakers
Marion Gardais (Chair)
VP Head of Data & AI Center of Excellence at Capgemini South Central Europe
Dr. Hiromi Arai
Unit Leader, AI Safety and Reliability Unit, RIKEN Center for AdvancedIntelligence Project
Dr. Yutaka Oiwa
Deputy Director, Digital Architecture Research Center, National Institute ofAdvanced Industrial Science and Technology (AIST)
Prof. Dr. Stefan Wrobel
Professor of Computer Science at University of Bonn & Director of the
Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS
Dr. François Terrier
VP of AI program at French Alternative Energies and Atomic Energy
Commission (CEA)24

Day 2 – October 28, 2022 (Friday), 13:30 – 15:00

Parallel Session, Conference Room Saturn

Education for an “AI Ready Society”
Outline
AI is penetrating and revolutionizing countless aspects of our lives, right down to selecting whicharticles we read online. But are people of all ages prepared to deal with AI in everyday life? Thequestion of how to educate society as a whole is key to not leaving anyone behind. At the same time,
Japan, Germany, and France are all facing a shortage of AI specialists and are competing withcountries around the world for the best and brightest.
In this session, experts from the three countries will discuss strategies to prepare society for the
major role that AI will play in the future and ask how Germany, Japan, and France can learn fromeach other and collaborate.

Speakers
Prof. Dr. Florian Röhrbein (Chair)
Professor for Neurorobotics, Chemnitz University of Technology
Dr. Yuichiro Anzai
CEO, The Tokyo Foundation for Policy Research; Senior Advisor, Japan Society
for the Promotion of Science; Former President, Keio University
Dr. Osamu Sakura
Team Leader, Science, Technology and Society Team, RIKEN Center for
Advanced Intelligence Project
Dr. Andreas LieblManaging Director, appliedAI Initiative
Prof. Justine Cassell
Director of Research, Inria Paris, France; Professor, Carnegie Mellon
University, USA
Prof. Dr. Anne Boyer
Professor in Computer science, University of Lorraine – Laboratory Loria,
France Scientific and educational senior adviser to the Directorate-General forHigher Education, Ministry of Higher education, France

25

Day 2 – October 28, 2022 (Friday), 15:30 – 17:00

Parallel Session, Conference Room Saturn

AI & Cybersecurity
OutlineAI, or at least machine learning, and cybersecurity interact with each other. On the one hand, machinelearning can be used to implement some security services (most often, reactive security services: malware
classification, intrusion detection, and alert correlation). On the other hand, the increasing use of machinelearning is attracting the interest of attackers who are developing new forms of attacks specificallytargeting these systems: poisoning, evasion, and oracle attacks. Fighting these new forms of attacks issometimes possible using traditional security. However, some very specific attacks that exploit thefunctioning of machine learning algorithms require very specific responses. This new field of study
requires cooperation between security experts and AI experts. The security of the mechanisms used toprovide security services is of particular concern. In this session, experts from France, Germany, and Japan
will exchange views on existing initiatives involving security experts and AI experts, and their vision on thebenefits of international cooperation to win the race against hackers.

Speakers
Prof. Dr. Jean-Yves Marion (Chair)
Professor, Lorraine University; Head of Loria (CNRS, Inria)
Dr. Tsutomu Matsumoto
Director, Cyber Physical Security Research Center, National Institute ofAdvanced Industrial Science and Technology (AIST)
Dr. Takeshi Takahashi
Associate Director, Cybersecurity research laboratory, National Institute ofInformation and Communications Technology (NICT)
Dr. Hermann Gumpp
CEO, Enobyte GmbH

Steffen Pfrang
Scientific Researcher, Fraunhofer IOSB, Karlsruhe, Germany

Prof. Yann Busnel
Professor, Head of Department, IMT Atlantique26

Day 2 – October 28, 2022 (Friday), 15:30 – 17:00

Parallel Session, Miraikan Hall

Regulation & Democracy of AI
OutlineAI technology plays an important role in Evidence-Based Policy Making (EBPM), which has recently
gained attention as an attempt to understand facts and issues, and to predict and improve thepolicies’ effectiveness by analysing various statistical and administrative data. Sharing appropriate
and truth-guaranteed information is also essential for fostering social consensus, which is thefoundation of democracy. However, many difficult issues still need to be addressed, such as
respecting the dignity and privacy of individuals in the face of data sharing and use, relativizing therelevance and veracity of information in a diverse society, and fake news in the context of free speech.
In this session, experts from the three countries will discuss the new ways of democracy, and therole and regulation of AI technology in it.

Speakers
Dr. Arisa Ema (Chair)
Associate Professor, Institute for Future Initiatives, The University of Tokyo
Dr. Shoko Suzuki
Program-Specific Professor (Artificial Intelligence Research Unit), Center for
the Promotion of Interdisciplinary Education and Research, Kyoto University,
Japan
Prof. Dr. Bernd Holznagel
Professor, Director, Institut für Informations-, Telekommunikations- undMedienrecht (ITM), WWU Münster, Juristische Fakultät
Dr. Ina Holznagel
Head of victim protection unit, Ministry of Justice, State of North-RhineWestphalia, Germany
Katya Lainé
Co-Founder & CEO TALKR.ai; Numeum Board Member & Président AI
Commission, AI expert GPAI
Dr. Benoit Rottembourg
Regalia Lead, Inria

27

Day 2 – October 28, 2022 (Friday), 15:30 – 17:00

Parallel Session,
Conference Room Mercury+Mars+Venus

AI for Health
OutlineAI technology has become indispensable in the medical field, as it is used for a variety of applications
including highly accurate diagnosis, effective treatment, genome-based personalized medicine, andhighly effective drug development. In a rapidly aging society, the use of AI technology is essential tosolve the conflicting issues of improving the quality of nursing care and increasing costs, as well as
reducing the burden on nursing care sites while improving the quality of life of nursing carerecipients. On the other hand, there are many issues to be considered, such as measures forcollecting and utilizing sensitive data in a safe and efficient manner, and consideration for humanrights and ethics.
In this session, experts from the three countries will discuss how AI technology should be and canbe used in order to "ensure healthy lives and promote well-being for all at all ages,” which is also put
forth in the Sustainable Development Goals (SDGs) set by the United Nations.

Speakers
Dr. Yusuke Nakamura (Chair)
President, National Institutes of Biomedical Innovation, Health and Nutrition
Dr. Mihoko Otake
Team Leader, Cognitive Behavioral Assistive Technology Team, RIKEN Center
for Advanced Intelligence ProjectProf. Dr. med. Felix Nensa
Professor and Chair “Radiology with focus on AI”, Institute for Artificial
Intelligence in Medicine, University Hospital Essen, Essen, Germany
Dr. Simon Stock
Co-Founder of Metis Neurotec; Researcher at ITIV, Karlsruhe Institute ofTechnology (KIT)
Emmanuel Bacry
Chief Scientific Officer, Health Data Hub; Senior Researcher, CNRS
Dr. Louis Létinier
MD & PhD, Medical Director & Co-founder, Synapse Medicine

28Day 2 – October 28, 2022 (Friday), 17:05 – 18:00

Plenary Session, Miraikan Hall

Wrap-up & Closing Remarks
Speakers
Prof. Didier Marty-Dessus
Counselor for Science and Technology, Embassy of France in Tokyo
Sabine Schenk
Chair Advisory Board, DWIH Tokyo; Head, Heidelberg University Office, Kyoto(HUOK)
Dr. Yuichiro Anzai
CEO, The Tokyo Foundation for Policy Research; Senior Advisor, Japan Society
for the Promotion of Science; Former President, Keio University

29

Main Organizers

Co-organizer

Under the Patronage ofJapanese Supporters

Supporters of the Embassy of France in Japan30

Supporters of DWIH Tokyo

Main Supporters of DWIH Tokyo

Associated Supporters of DWIH Tokyo

31