Report

Artificial Intelligence –International Researchand Applications:
1st Japanese-German-French
DWIH Symposium
November 21-22, 2018 (Wednesday/Thursday)
Toranomon Hills, Tokyo

Contents

Event Report

3

Joint statement

5

Livestream of Plenary sessions on Day 1 (Nov, 21)

6

Livestream of Plenary sessions on Day 2 (Nov, 22)

7

Break-Out Session 1: Ethical & Legal Aspects of AI

8

Break-Out Session 2: The Role of Digital Technologies in Learning and Education

9

Break-Out Session 3: AI & the Environment / Smart Cities

10

Break-Out Session 4: AI Applications in Health Care

11

Break-Out Session 5: AI Applications in Mobility & Autonomous Driving

12

Break-Out Session 6: AI Applications in Connected Industries and Productivity

13

Break-Out Session 7: AI Applications in Security and Safety

14

Press Coverage

15

Evaluation

17

Acknowledgements

19

About the German Centre for Research and Innovation Tokyo (DWIH Tokyo)

212Event Report

1st Japanese-German-French DWIH symposium on Artificial Intelligence:
Japanese, German and French participants agree on intensified collaboration and exchange“Artificial Intelligence” is a broad topic as it concerns
almost every public and private sector and academic
discipline. Hence, the DWIH symposium’s goal tofacilitate not only interdisciplinary but also international
exchange on AI was ambitious. However, it soon
became clear, that Germany, France and Japan holdhigh potential for an intensified exchange on AI for
several reasons - Prof. Margret Wintermantel (presidentof the German Academic Exchange service) took up
three such reasons, when she welcomed the audienceon behalf of the main organizer, the German Centre
for Research and Innovation Tokyo (DWIH Tokyo):Germany, France and Japan all feature excellent
resources, share similar value systems and have a long
tradition of collaboration. Japanese Minister of State for Science and Technology Policy, Takuya Hirai, expressed his hope that the
symposium will foster trilateral cooperation. German Ambassador Dr. Hans Carl von Werthern as well as French Ambassador Laurent
Pic emphasized the need for trilateral exchange on AI in regard to the impact AI will have on our societies.
National AI strategies of Japan, France and Germany
To set the political framework for the discussions, top-ranking representatives of each country introduced the cornerstones of theirnational AI strategy. For Japan, the Minister of State for Science and Technology Policy, Takuya Hirai, emphasized that a central goalof the Japanese AI strategy is to prepare Japanese society for the changes which the advances in technology are about to bring.
The Japanese strategy envisions a “Human-centric AI society” composed of values such as dignity, diversity and sustainability.
The French strategy was presented by world-renowned mathematician Cédric Villani, who directed the task force to compose areport on which the French AI is premised. Prof. Dr. Villani indicated that in the fierce global AI race we are facing today, competition
concentrates not only on big databases and computer power, but also on people who are capable of contributing to AI research.
He pointed out that the transnational sharing of data and competence is one of the strategy`s central guidelines and stressed theimportance of common values: “You will only share data with partners that you trust”.
The brand-new German AI strategy was presented by Dr. Herbert Zeisel from the Federal Ministry of Education and Research (BMBF),
who put special emphasis on the necessity to create attractive working conditions for promising AI researchers. The acceptance of
AI by society is another important topic addressed by the German AI strategy: “This involves making the technology controllable andprotecting personal data”, Zeisel said.
Artificial Intelligence & Human Intelligence: co-operation, co-evolution, co-existence?
One question which came up repeatedly at the symposium was about the relationship between humans and machines and how it will
evolve in the future.
The great potential of AI for humankind was addressed in the keynote speech by Prof. Dr. Wolfram Burgard (University of Freiburg),
who illuminated how AI could help to solve existential problems of many people all around the world – ranging from famine to limitedaccess to medical care.

3Event Report

Prof. Dr. Andreas Dengel from the German Research Center for Artificial Intelligence (DFKI) stated in his keynote speech that self-learning
machines could be used as “intelligence amplifiers - complementing our own senses, helping us to understand, to memorize, to act”.
Prof. Dr. Junichi Tsujii from the Artificial Intelligence Research Center (AIRC) put the “co-evolution” of AI and Human Intelligence (HI)into perspective. With self-moving robots programmed not to interfere with humans, the AIRC is now focusing its research activities on
the “co-existence” of AI and humans – the next step will be “co-evolution”, through which AI and HI create a model of the real world
together.
Dr. Joseph Reger, Chief Technology Officer (CTO) at Fujitsu EMEIA, on the other hand expressed doubts, if the “co-operation” of HI andAI will hold up for the coming decades. In a visionary talk on one of many possible futures of AI, he pointed out that in 80 years there
might not be a clear distinction between HI and AI – “they will be one and the same”, with AI being subject to the same laws and civilrights as humans.
From Ethics to Connected Industries – concentrated discussions in break-out sessions
A human-based approach – joint statement
What unites Germany, Japan and France when it comes to Artificial Intelligence? In the last session of the symposium, Prof. Dr. Yuichiro
Anzai (Japan Society for the Promotion of Science) looked back on the topics that came up during the two days – many of them relatingback to broader issues like the future of democracy or the future of truth and ethics. He emphasized that international exchange andcollaboration will be important to address these challenges.
The demand for further exchange was also expressed by many of the participants – and put to record in a joint statement on intensified
collaboration in AI. The statement emphasizes to take a “human-centered approach” to AI and its applications.

4

Joint statement

On the occasion of the first Japanese French and German Symposium on Artificial Intelligence, organisedby the DWIH Tokyo and the Embassy of France in Japan, the participants from the fields of research,
policy, and funding organisations express their willingness to intensify their future collaboration in AI
research and innovation.The cooperation will be carried out in the spirit of shared ethical values for thecommongood of our societies. At the centre of this collaboration we put a human-centred approach which
will set common standards and a joint understanding of the potential of Artificial Intelligence.
We strongly support the creation and reinforcement of networks of individuals as well as networks ofinstitutions. Based on the respective national strategies of Artificial Intelligence we see the need and thescope for intensified exchange of researchers, ideas and perspectives to face challenges in areas suchas health care, mobility, environment, connected industries, or disaster risk reduction. The ultimate aimof Artificial Intelligence is to serve people and contribute to the improvement of the quality of life for theindividual as well as for society as a whole.
Tokyo, November 22, 20185

Livestream of Plenary Sessions on Day 1 (Nov, 21)
OPENING REMARKS
00:03:33 – 00:38:20••••

Prof. Dr. Margret Wintermantel
President, German Academic Exchange Service (DAAD)
Dr. Hans Carl von Werthern
Ambassador of the Federal Republic of Germany to Japan
Laurent Pic
Ambassador of France to Japan
Takuya Hirai
Minister of State for Science and Technology Policy
Watch the video on YouTube

KEYNOTE SPEECHES
01:07:10 – 01:52:55“Research Activities of the AIRC in the Context of Society 5.0”
Prof. Dr. Junichi Tsujii / Fellow, National Institute of Advanced Industrial Science and Technology (AIST), Director,
Artificial Intelligence Research Center (AIRC), AIST
“Augmented Intelligence – Towards Self-Learning Machines”
Prof. Dr. Andreas Dengel / Member of the DFKI Management Board, Site Head and Scientific Director at DFKI
Kaiserslautern, German Research Center for Artificial Intelligence (DFKI)
NEW WORKING ENVIRONMENT WITH AI
02:14:45 – 03:43:55”AI for Happiness of People”
Dr. Kazuo Yano / Fellow, Hitachi Ltd.

“AI at Work - How We Can Shape the Collaboration Between Man and Machine”
Dr. Matthias Peissner / Director, Head, Human-Technology Interaction Research Unit, Fraunhofer Institute for Industrial
Engineering IAO“How Does AI Change HR and Education Landscape?”
Dr. Masahiro Fukuhara / CEO, Institute for a Global Society, Adjunct Professor, Hitotsubashi University Graduate
School, Project Professor, Keio University“AI and the Smart Factory”
Klaus Bauer / Head, Development Basic Technology, TRUMPF Werkzeugmaschinen GmbH + Co. KG”The Crucial Importance of Understanding AI”
Prof. Dr. Daniel Andle / Emeritus Professor, Department of Philosophy, Paris-Sorbonne University, Senior Scientist,
Department of Cognitive Studies, Ecole normale supérieure, PSL University“Interface.ai – Fresh Opportunities to Get Back into the Game”
Alexander Diehl / General Partner, Hasso Plattner Ventures6

Livestream of Plenary Sessions on Day 2 (Nov, 22)

Watch the video on YouTube

KEYNOTE SPEECHES AND DISCUSSION
00:02:29 – 00:27:29“Opportunities Offered by Robotics and Artificial Intelligence for Our Future”
Prof. Dr. Wolfram Burgard / Head, Research Lab AI Systems, Albert-Ludwigs-University Freiburg, President, IEEE
Robotics and Automation Society (IEEE RAS)

00:27:50 – 01:00:10
Prof. Dr. Cédric Villani / Vice-President, The French Parliamentary Office for the Evaluation of Scientific andTechnological Choices

01:00:35 - 01:18:33
Discussion of Prof. Dr. Wolfram Burgard & Prof. Dr. Cédric Villani

WRAP-UP
01:19:16 – 01:46:16
Prof. Dr. Yuichiro Anzai / Senior Advisor, Director of Center for Science Information Analysis, Japan Society for the
Promotion of Science (JSPS)

7

Break-Out Session 1: Ethical & Legal Aspects of AI

In the session on “Ethical and Legal Aspects of AI”, over 100 participants discussed questions like how AI will affect human dignity
or how data biases widen social gaps. Participants stressed the necessity of international principles regarding AI.
Artificial Intelligence (AI) applications range from intelligent networks to autonomous robots and drones. In consequence, AI’s
ethical and legal impacts, its challenges and risks, are becoming more and more the subject of public discussion. Some of thequestions to be considered include how researchers and businesses should improve their systems’ fairness, accountability andtransparency, how misuse of intelligent technologies is to be prevented, and how the relation between humans and machines
should be defined. Do we want autonomous organisms and will they be our slaves, equals, superiors or all three? The aim of thissession was to alert a wider range of stakeholders of the challenges with which AI will confront our society sooner or later.
Chairs: Dr. Arisa Ema and Prof. Dr. Christoph von der Malsburg“AI as a Mirror of our Society”
Dr. Arisa Ema (Project Assistant Professor, Policy Alternatives Research Institute, The University of Tokyo,
Visiting Researcher, RIKEN Center for Advanced Intelligence Project)“The Challenge of Autonomous Electronic Organisms”
Prof. Dr. Christoph von der Malsburg (Senior Fellow, Frankfurt Institute for Advanced Studies)“AI Guidelines & Principles on R&D & Utilization”
Dr. Akemi Yokota (Associate Professor, Graduate School of Social Sciences, Chiba University)“Autonomous Agents as Legal Persons? A Functional Approach”
Dr. Jan-Erik Schirmer (Senior Research Fellow, Humboldt-University Berlin)“The Ethics of Affective Computing”
Prof. Dr. Laurence Devillers (Professor in Artificial Intelligence, Sorbonne University, Researcher, LIMSI CNRS,Member of CERNA-Allistène)

8Break-Out Session 2: The Role of Digital Technologies in Learning and Education

This session highlighted changes and challenges AI applications are about to bring in the field of “Learning and Education”.
It became clear that these developments can greatly benefit from a disciplinary approach and the perspective of social scientists.
Digital technologies have a relatively long history in the field of learning and education. From the 1970s onward, intelligent
tutoring systems have been an active Artificial Intelligence research and implementation field to facilitate student learning.
In the learning sciences, interest in Artificial Intelligence approaches faded a bit in the 1990s when classical, rule-based solutionsof tutoring systems ran into some problems. However, the last 15 years led to a renewed interest in Artificial Intelligence in
Education, as new methods were deployed that were built on making inferences from large data-sets (educational data mining,learning analytics). Research on the role of digital technologies in learning and education has always been a multidisciplinary
endeavor, combining findings from computer science, engineering, cognitive science, psychology, education, and neuroscience.
Therefore, it is vital to bring together experts on the understanding of the working of the human mind with experts on theunderstanding of technological systems.
Chairs: Prof. Dr. Yuichiro Anzai (Senior Advisor, Director of Center for Science Information Analysis, Japan Society) and Prof. Dr.
Dr. Friedrich W. Hesse (Scientific Vice-President of the Leibniz Association, Scientific Co-Chair of the Global Learning Council)“The Role of the Ontological Engineering in Learning & Education”
Prof. Dr. Mitsuru Ikeda (Professor, School of Knowledge Science, Knowledge and Management Area,
Japan Advanced Institute of Science and Technology (JAIST))“Learning Needs Heterogeneity & Irritation”
Prof. Dr. Ulrike Cress (Executive Director, Leibniz-Institut für Wissensmedien (Knowledge Media Research Center)(IWM))“From Artificial Intelligence to Artificial Sociality in Learning & Education”
Dr. Jürgen Buder (Head, Strategy Department of the Leibniz-WissenschaftsCampus Tuebingen “Cognitive
Interfaces”, Leibniz-Institut fuer Wissensmedien (IWM))“Toward Evidence-Driven Education through User-Centered Learning Analytics”
Prof. Dr. Hiroaki Ogata (Professor, Academic Center for Computing and Media Studies, Kyoto University)9Break-Out Session 3: AI & the Environment / Smart Cities

In this session the possibilities and risks of “Smart cities” were discussed. The speakers pointed out how AI could improve safety
and help to reduce energy costs as well as traffic congestion. Major challenges in these fields concerned the protection ofpeople’s privacy and the education of people about AI.
Cities are not just a collection of systems and networks; they are made of people, political institutions and social organisations.
This session looked beyond AI technology and performances to address its impact on the governance and social organisation of
cities. The objective was to analyse the impact of these new capacities on specific aspects, namely:• The role of political decision-making in a city optimized by AI (city management and city planning);• The new business models underpinning autonomous services (i.e. those with no operator), which upscale capacities;• The risks and potential benefits of AI with regards the digital divide and social acceptance in cities;• The impact of AI on the resilience of cities and people’s dependence on them in their everyday lives(the benefits of augmented intelligence vs. the risks of losing individual abilities);• What space is given to creativity and serendipity in an AI-driven city?
This session put technological opportunities into political and social perspectives. Finally, participants highlighted the key politicaland social choices made while developing AI solutions for cities and illustrated how public authorities and the general population
can be part of the decision-making process.
Chairs: Hiroaki Kitano (CEO, Sony Computer Science Laboratories, Inc.) and Dr. Amélie Cordier“AI & Cities: A Governance Issue”
Dr. Amélie Cordier (Chief Scientific Officer, Hoomano, President, “Lyon iS AI”)

“The AI-powered Smart City: Making Cities Smarter & More Secure”
Toshihiko Takayama (Senior Manager, Strategic Solution and Business Development, Cisco Systems G.K)

“AI & Cities: A Political Issue”
Stéphane Tanguy (Chief Information & Technology Officer, EDF Labs)“Efforts to Harness Open Innovation & Create New Business Utilizing IoT & AI in Yokohama”
Hideaki Takagi (Director, New Industry Creation Division, Growth Strategy Promotion Department,
Economic Affairs Bureau, City of Yokohama)10Break-Out Session 4: AI Applications in Health Care

Key actors from Germany, Japan and France gave input on new advances in precision medicine and cancer treatment in thesession on “AI Applications in Health Care”. The participants emphasized that the quality and sizes of medical data bases
represent one of the major challenges to be overcome to tap the full potential of AI technologies.
Demographic trends provide a huge challenge for health care systems in industrialized countries like Japan, France andGermany. AI has the potential to successfully address some of these challenges like shortage of healthcare professionals, making
the rapid growth of medical knowledge available for diagnostic and therapeutic purposes independent of time and location,
caring for elderly people in their homes, etc. This session discussed the most promising fields of application for AI in health andcare, how Japan, France and Germany can combine their strengths to compete in the field and in international markets and how
the highest quality outcome for patients can be assured.
Chairs: Dr. Kazuhiro Sakurada and Prof. Dr. Klaus Juffernbruch“Artificial Intelligence in Precision Medicine”
Dr. Kazuhiro Sakurada (Deputy Program Director, Medical Sciences Innovation Hub Program, RIKEN)“Do We Need Quality Standards for AI in Health Care?”Prof. Dr. Klaus Juffernbruch (Professorship for Health & Social Management, FOM University, President,
Expert Group “Intelligent Networks in Health Care” at German National Digital-Summit)“Cognitive Mirroring: Computational Approach to Developmental Disorders”
Dr. Yukie Nagai (Senior Researcher, National Institute of Information and Communications Technology (NICT),
Visiting Professor, Bielefeld University)“Artificial Intelligence Enables Precision Diagnostics in Clinical Medicine”
Prof. Dr. Fabian Kiessling (Director, Institute for Experimental Molecular Imaging, RWTH Aachen University)“Using Artificial Intelligence to Personalize Cancer Care”
Charlotte Robert (Associate Professor, Paris Sud University, U1030, Gustave Roussy Institute) & Lucas Fidon(Research Scientist, TheraPanacea (startup of Ecole Centrale Paris))

11Break-Out Session 5: AI Applications in Mobility & Autonomous Driving

In the session on “AI Applications in Mobility and Autonomous Driving”, experts from all three countries discussed the futureof self-driving cars and traffic regulations. The overarching question was how to introduce AI technology into reality – focusing
on autonomous, self-driving cars and other vehicles s – by overcoming current security, data collection, trust, and infrastructural
challenges.
AI plays a key role for Autonomous Driving, including topics such as intelligent navigation systems, traffic regulation, nextgeneration delivery services, autonomous taxi services, or on-demand public transport. Market research by a major consultancy
company predicts that consumer acceptance of these applications will be comparatively high. Here, consumers associate AI
solutions mostly with more convenience and comfort in transport, improved safety and positive environmental effects.
Chairs: Dr. Hideyuki Tokuda and Prof. Dr. Philipp Slusallek“Evolution of IoT Services & AI-enabled Connected Cars”
Dr. Hideyuki Tokuda (President, National Institute of Information and Communications Technology (NICT))“Understanding the World with AI: Training & Validating Smart Machines Using Synthetic Data”
Prof. Dr. Philipp Slusallek (Head in the Research Department of Agents and Simulated Reality, German ResearchCenter for Artificial Intelligence (DFKI), University of Saarbruecken)“DeNA’s Challenges to Realize Future Mobility Services”
Atsushi Yamashita (Senior Manager, Business Development & Management Department, Automotive Business Unit,
DeNA Co., Ltd. &) & Hirohito Okuda (Senior Manager, AI System Department, DeNA Co., Ltd.)“Integrated Uses of real-live Data & synthetic Data for the Development of AI-based Driving Functions”
Prof. Dr. Frank Koester (Head, Departments Automotive Systems, Railway System, Intermodality and Public
Transport, Traffic Management, Institute of Transportation Systems, German Aerospace Center (DLR))“AI for Railways: A Strategic Challenge for Mobility as a Service & for Industrial Operations”
Dr. Héloïse Nonne (Head, Data Science and Engineering, Digital Department, SNCF group)12Break-Out Session 6: AI Applications in Connected Industries and Productivity

How engineering facilities can profit from data sharing and still protect their privacy was discussed in the session on “AI
Applications in Connected Industries”. As data sharing between companies is a delicate problem already, participants were not
optimistic about the realization of international data pools in this field, but also looked into methods of machine learning withsmall amounts of data.
The session presented insights into AI-based applications in industrial use cases. In the light of Industry 4.0, these applications
become more and more crucial to gain usage of the vast amounts of data produced by manufacturing and engineering facilities.
In this context, many questions arise, for example: How can data be exchanged between partners in a secure and privacy
preserving way? How can we deal with situations, where the facilities - and the data they produce - are decentralised?
How can the data be utilised to improve productivity and efficiency?
Chairs: Prof. Dr. Junichi Tsujii and Dr. Gunar Ernis“Challenges in Connected Factories – The Next Phase of the AI Revolution”
Prof. Dr. Junichi Tsujii (Fellow, National Institute, Advanced Industrial Science and Technology (AIST),
Director, Artificial Intelligence Research Center (AIRC), AIST, Professor at the University of Manchester)“Industry 4.0 in Practice – Federated Learning & Data Sovereignty”
Dr. Gunar Ernis (Head, Business Unit Industrial Analytics, Fraunhofer IAIS)“Four Waves of AI Business in Connected Industry: NEC the WISE & NEXT”
Dr. Satoshi Morinaga (Research Fellow, Data Science Research Laboratories, NEC Corporation)“A Self-Learning AI through an Ontology-Driven Architecture”
Cedric Oette (Data Analyst, Data Science & AI, Schaeffler Technologies AG & Co. KG)“Some of the Challenges of AI in an International High-Technology Group”
Dr. Daniel Duclos (Head, Signal & Information Technologies Department, Safran Research Center, Safran SA)“Redefining Operator Work Environment with Socio-Technical AI Assistant”
Dr. Fabian Schreiber (Head, BMBF Young Research Group SozioTex, Institut für Textiltechnik, RWTH Aachen
University)13Break-Out Session 7: AI Applications in Security and Safety

The seventh break-out session concerned “AI Applications in Security, Safety, and Communication”. The discussion was shapedby two different approaches: AI to defend and AI to attack. The participants also raised ethical questions e.g., on data biases
and responsibilities for machine failure.
This session aimed to show how AI can be used to create a safe and secure environment in the digital and physical worlds whileremaining a strictly supervised tool unaltered by human preconceptions. To do so, this session drew on experts from leading
developers of safety and security technologies using AI, as well as promising and innovative newcomers addressing lesser known
but equally critical issues.
Chairs: Ken Hanazawa and Yan-Taro Clochard“Research & Development of Face Recognition Technology in NEC”
Ken Hanazawa (Deputy General Manager, Biometrics Research Laboratories, NEC Corporation)“Defensive and offensive AI for embedded cyber-security”
Yan-Taro Clochard (Director, Secure-IC Japan, Head of Sales North Asia)“Cybersecurity Incident/Response Assistance using AI Technology”
Dr. Yuji Sekiya (Associate Professor, Information Technology Center, The University of Tokyo)“Artificial Intelligence - A Gift & a Curse with Respect to Security & Privacy”
Dr. Michael Tagscherer (Chief Technology Officer (CTO), Giesecke + Devrient Mobile Security)“Artificial Intelligence: From Research to Business Value”
Virginie Haas (Chief Revenue Officer, Shift Technology)“AI-induced Discrimination: Risks & Solutions”
Anna Choury (CEO, Maathics)

14

Press Coverage

Date

Media

Title

Category

2018/6/21

DWIH Tokyo

Artificial Intelligence – International Research and Applications: 1st JapaneseGerman-French DWIH SymposiumWeb

2018/6/21

DWIH Tokyo

人工知能 – 国家間における研究及び応用：第1回人工知能に関する日独仏合同シンポジ
ウムWeb

2018/6/21

L’ambassade de France
au JaponPremier symposium Japon-Allemagne-France sur l’intelligence artificielleWeb

2018/6/21

在⽇フランス⼤使館

第1回⼈⼯知能に関する⽇独仏合同シンポジウム

Web

2018/8/25

DAAD Japan

DWIH Symposium: Artificial Intelligence – International Research and ApplicationsWeb

2018/9/25

State of Bavaria Japan

Artificial Intelligence – International Research and Applications: 1st JapaneseGerman-French DWIH SymposiumWeb

2018/9/25

State of Bavaria Japan

⼈⼯知能 – 国家間における研究及び応⽤：第1回⼈⼯知能に関する⽇独仏合同シンポジ
ウムWeb

2018/10/3

AINOW

⼈⼯知能 – 国家間における研究及び応⽤：第1回⼈⼯知能に関する⽇独仏合同シンポジ
ウムWeb

2018/10/3

EU-Japan Centre

ARTIFICIAL INTELLIGENCE – INTERNATIONAL RESEARCH AND APPLICATIONS:
1ST JAPANESE-GERMAN-FRENCH DWIH SYMPOSIUM

Newsletter

2018/10/4

一般社団法人コンピュータ
ソフトウェア協会「⼈⼯知能 – 国家間における研究及び応⽤：第1回⼈⼯知能に関する⽇独仏合同シンポジ
ウム」のご案内Web

2018/10/4

The Robotics Society ofJapan「人工知能 – 国家間における研究及び応用：第1回人工知能に関する日独仏合同シンポジ
ウム」のご案内Web

2018/10/5

日本バイオインダストリー
協会

ドイツ 科学・イノベーション フォーラム 東京：「⼈⼯知能 国家間における研究及び応⽤：第1回⼈⼯知能に関する⽇独仏合同シンポジウム」のご紹介（11/21-22、東京、申込
締切11/7）Web

2018/10/14

EURAXESS

1st Japanese-German-French Symposium on Artificial IntelligenceWeb

2018/10/16

Deutsche Botschaft inJapan

⼈⼯知能 – 国家間における研究及び応⽤：第1回⼈⼯知能に関する⽇独仏合同シンポジ
ウムWeb

2018/10/17

AMED

ドイツ 科学・イノベーション フォーラム 東京（DWIH 東京）「⼈⼯知能 - 国家間における研究及び応⽤︓第1回⼈⼯知能に関する⽇独仏合同シンポジウム」開催のお知らせ（AMED
後援イベントのご案内）

Web

2018/10/19

GROW360

弊社代表福原が⼈⼯知能 – 国家間における研究及び応⽤：第1回⼈⼯知能に関する⽇独仏
合同シンポジウムに登壇しますWeb

2018/10/24

Learning and Educational
Technologies Research Unit
Kyoto University【11/21, 2018】講演（緒⽅教授）＠「⼈⼯知能 – 国家間における研究及び応⽤：第1回⼈⼯知能に関する⽇独仏合同シンポジウム」, ⻁ノ門ヒルズ

Web2018/10/30

NRW Japan K.K.

DWIH 東京・⽇独仏合同シンポジウム＜⼈⼯知能 – 国家間における研究及び応⽤＞11/21&22 in ⻁ノ門ヒルズ

Web2018/10/31

日本バイオインダストリー
協会

ドイツ 科学・イノベーション フォーラム 東京：「⼈⼯知能 国家間における研究及び応⽤：第1回⼈⼯知能に関する⽇独仏合同シンポジウム」のご紹介（11/21-22、東京、申込
締切11/7）Web

2018/10/31

NRW Japan K.K.

DWIH 東京・日独仏合同シンポジウム＜人工知能 – 国家間における研究及び応用＞11/21&22 in 虎ノ門ヒルズ

Newsletter

15

Press Coverage

Date

Media

Title

Category

2018/11/8

Institut DITAIA

L‘Institut DATAIA est partenaire du 1er événement tripartite Japon-Allemagne-France
autour de l’Intelligence Artificielle intitulé « Artificial Intelligence – International
Research and Applications: 1st Japanese-German-French Symposium » organisé par
le Service pour la Science et laWeb

2018/11/8

Research in Germany

DWIH Tokyo Symposium on AI: Experts from France, Germany and Japan gather inTokyo to discuss latest developments in Artificial IntelligenceWeb

2018/11/16

DFKI

1st Japanese-German-French DWIH Symposium on Artificial IntelligenceWeb

2018/11/16

Fraunhofer
Representative Office
Japan

Artificial Intelligence – International Research and Applications: 1st JapaneseGerman-French DWIH SymposiumWeb

2018/11/16

Fraunhofer
Representative OfficeJapan

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ウムWeb

2018/11/19

Research in Germany

Expert from Germany, Japan and France speak on Artificial Intelligence in TokyoWeb

2018/11/20

DeNA「⼈⼯知能 – 国家間における研究及び応⽤： 第 1 回⼈⼯知能に関する⽇独仏合同シンポジウム」に登壇しますWeb

2018/11/22

CAO

平井内閣府特命担当⼤⾂繰上げ閣議後記者会⾒要旨 平成30年11⽉22⽇

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2018/11/22

Japanese Government
Internet TV

平井⼤⾂繰上げ閣議後記者会⾒（平成30年11⽉22⽇）

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2018/11/26

DAAD

Deutsches Wissenschafts- u. Innovationshaus Tokyo organisiert Symposium zur
Künstlichen Intelligenz

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2018/11/27

Kooperation international

Deutsches Wissenschafts- und Innovationshaus Tokyo: Veranstaltungsrückblick auf das
Japanisch-Deutsch-Französische Symposium für Künstliche Intelligenz

Web

2018/12/2

DWIH Tokyo

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16

Evaluation

Registrations (Nov, 21 +22)
OthersFunding institution(public / private)7%
Non-university
research institution

7%

Government

Company

33%

11%

17%
25%
University

Participants per Session
200
180
160

177

140

136

120
100

105
88

87

86

80
60

77

40
20
0

Ethical andLegal Aspectsof AI

AI in Learning
andEducation

AI and theEnvironment /Smart Cities

AI
Applications inAIMobility
Applications
andin Health Care
Autonomous
Driving

AI
Applications
in Connected
Industries

Main Reasons for attending
OthersSpeaker2%
13%

Networking

59%

26%

17

Content

AI
Applicationsin Security,
Safety andCommunication

M

lity

ob
i

18

y

rit

cu

Se

d

O

g

the
r

fe
ty

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tri

sa

us

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riv
in

ou
sd

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itie
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tio
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iro

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to
no

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ar

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Et

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ki

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the

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Sa

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y

ilit

tri

us

Ind

an

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re

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tup

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ea

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AI

en

m

on

vir

n

ts

io

at

uc

Ed

En

d

ec

sp

la

ga

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en

m

on

vir

en

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an

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on

C

ng

ni

ar

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nd

la

g

kin

or

w

ca

hi

Et

ew

N

Evaluation

Focus Future Events

30

25

20

15

10

5

0

Future Events by Affiliation

14

12

10

8

6

4

2

0

Company

University / Research institution

Non-scientific organization / otherAcknowledgements

With more than 350 participants and 65 speakers from Japan, Germany and France, our first trilateral symposium on
Artificial Intelligence in Tokyo was a great success. This was made possible by the valuable support of many persons
and organisations to whom we would like to express our gratitude.

Organiser
German Centre for Research and Innovation Tokyo (DWIH Tokyo)

Co-organiser
Embassy of France in Japan

Patronage
Federal Foreign Office of Germany
German Federal Ministry of Education and ResearchContact
German Centre for Research and Innovation Tokyo (DWIH Tokyo)
German Culture Center 4F, 7-5-56 Akasaka, Minato-ku, Tokyo 107-0052, Japan
Tel: +81 (0)3-6807-4340 info@dwih-tokyo.jp www.dwih-tokyo.org©DWIH Tokyo

19

The Symposium is Supported by
Ministry of Economy, Trade and Industry (METI)
Ministry of Education, Culture, Sports, Science and Technology (MEXT)
Ministry of Internal Affairs and Communications (MIC)
Japan Agency for Medical Research and Development (AMED)Japan Science & Technology Agency (JST)Japan Society for the Promotion of Science (JSPS)New Energy and Industrial Technology Development Organization (NEDO)

Main Supporters of DWIH Tokyo
The Alexander von Humboldt-Foundation
Economic Development Agency of the German State of North Rhine-Westphalia (NRW Japan K.K.)
Embassy of the Federal Republic of Germany in JapanThe German Academic Exchange Service (DAAD)The German Aerospace Center (DLR)
German Chamber of Commerce and Industry in Japan (AHK Japan)
The German Institute for Japanese Studies (DIJ)
The German Rectors´ Conference (HRK)The German Research Foundation (DFG)
Heidelberg University Office, Kyoto
The Leibniz Association
State of Bavaria-Japan Office (Invest in Bavaria)

Associated Supporters of DWIH Tokyo
Freie Universität Berlin
Max Planck Society

Supporters to the Embassy of France in TokyoDATAIA InstituteFrench Alternative Energies and Atomic Energy Commission (CEA)
French Institute for Research in Computer Science and Automation (Inria)
French Ministry for Higher Education, Research and Innovation
French National Centre for Scientific Research (CNRS)National Agency for Research (ANR)20

About the German Centre for Research and Innovation Tokyo(DWIH Tokyo)

The German Centre for Research and Innovation Tokyo (DWIH Tokyo) is a forum for German universities,
non-university research institutions and research-based companies in Japan. The DWIH represents andpromotes Germany as a location for science, research and innovation, supports knowledge exchange on
the German and Japanese science, research, and innovation landscapes, communicates between actors ofboth countries and thus, creates the preconditions for research cooperation. It connects Japan and Germany
bi-directionally, in an interdisciplinary fashion, and advocates exchange on future challenges. To do so,
it relies on its research-based partners in Germany who facilitate and shape the work of the DWIH on site.
DWIH Tokyo belongs to a global network of five German Centres for Research and Innovation.It is thecentral exchange and cooperation platform for Japanese and German research institutions, universities,
and research-based companies, as well as for the interested public. Since its establishment in 2010, it has
been supported by the German Federal Foreign Office. It has been coordinated by the German Academic
Exchange Service (DAAD), since 2017.
Activities & Services
Exchange and Networks
DWIH Tokyo organizes professional events on focal topics of innovation and research. It operates as an
exchange platform for players in science and business: universities and non-university research institutions,intermediary and funding organisations, and research-based companies. By utilizing research competitions,
DWIH motivates exchange and interconnectedness between German and Japanese innovators.
Service and Advice
DWIH Tokyo generates fruitful relations and supports concrete collaboration projects by offering individual
consultancy. DWIH helps its supporters and other actors in Germany’s science and business community toorganize events and activities in research marketing in Japan.
Information, Advertising and Marketing
On its trilingual website (www.dwih-tokyo.org) and via its online newsletter, DWIH Tokyo provides updates
on developments in science, research, and innovation in Germany and Japan. It also informs about current
events, funding opportunities and announcements on cooperative ventures through social media.

www.dwih-tokyo.org

21