Event： Japanese – German – French Conference: AI for SDGs: – HOW CAN AI HELP SOLVE ENVIRONMENTAL CHALLENGES
(organized by DWIH Tokyo)
Presentation Title: “Towards the SDGs with ocean renewable energies; Application of AI in reducing the uncertainties for sustainable development”
Presentor： Kamlanzad Bahareh Assistant Professor, Hakubi Researcher
Date/Venue： October 24, 2019, German Culture Center, Tokyo
Researcher from Hakubi Center invited to Conference
On 24 October, the conference “AI for SDGs – How can Artificial Intelligence help solve Environmental Challenges” was hosted by the German Centre for Research and Innovation Tokyo (DWIH Tokyo) in cooperation with the Embassy of France in Japan and the Japanese Science and Technology Agency (JST). Over 150 people attended the event, which through a series of talks and a panel discussion, explored a diverse array of topics such as policy making and digital transition, AI in agriculture, smart homes and cities, and the future of mobility – with the overarching question of how aritificial intelligence can help create an environmentally sustainable future.
The goal of contributing to SDGs through research is shared by the AI DA programm, a fund jointly managed by the German Foreign Exchange Service (DAAD) and Kyoto University which aims to increase the mobility of early career researchers. In this spirit of creating an international research network to tackle environmental and societal challenges, the AI DA team was happy to send Dr. Bahareh Kamranzad from the Hakubi Center for Advanced Research at Kyoto University as a panelist. After presenting her research on marine renewable energies, she joined the event-concluding discussion “AI Game Changers for the Earth – Challenges, Risks, and Future Opportunities” alongside Jochen Schwill (Next Kraftwerke), Hirobumi Wada (Digital Innovation Promotion, Tohoku Electric), Dr. Peter Hoffmann (GERICS, Helmholtz-Zentrum Geesthacht) and Dr. Jean-Pierre Vilotte (CNRS-INSU).
The panelists were optimistic about the applications of AI in fields such as health, finance and climate science, while at the same time cautioning that societal and ethics-related issues like data privacy or the risk of maladaptation in machine learning will continue to require sound human judgement – at least in the foreseeable future.
For the detail research topic of Dr. Kamranzad, please visit Hakubi Researcher’s website.