GERMAN-FRENCH DIALOGUE ON JAPAN II: Artificial Intelligence and Health Care

The Fondation France-Japon (FFJ) de l’EHESS and the Japanese-German Center Berlin (JDZB) are pleased to invite you to the French-German Dialogue on Japan II, a joint symposium on

Artificial Intelligence and Health Care

  • 16-17 September 2021 | 9.30 – 12.00 (France) | 16.30 – 19.00 (Japan)
  • Online
  • In English
  • Speakers: Sébastien Dalgalarrondo (IRIS), Jean-Louis Davet (Denos Group), Roland Eils (BIH Digital Health Center, Berlin Institute of Health at Charité), Amelia Fiske (Institute for History and Ethics of Medicine, Technical University of Munich), Yuko Harayama (RIKEN), Boris Hauray (IRIS), Stefan Höcherl (gematik GmbH), Phoebe Stella Holdgrün (JDZB), Romain Huret (EHESS), Jiro Kokuryo (Keio University), Athanasios Kontopoulos (Air Liquide), Sébastien Lechevalier (Fondation France-Japon de l’EHESS), Thomas Lefèvre (IRIS, Hospital Practitioner), Atsushi Nakazawa (Kyoto University), Vanessa Nurock (Paris 8 University, UNESCO), Werner Pascha (University of Duisburg-Essen, JDZB), Kazuhiro Sakurada (RIKEN), Anne Schwerk (CENTOGENE)

Among all the potentialities of artificial intelligence (AI) but also the related fears and worries (e.g. privacy concerns, data integrity), the application of AI to healthcare is certainly the one that has attracted attention the most and is considered as the most promising in terms of innovation and transformation of our socio-economic systems but also of our intimate life.

To put it simply, artificial intelligence in healthcare is an overarching term used to describe the use of AI to mimic human cognition in the analysis, presentation, and comprehension of complex medical and health care data. Although the concrete applications of AI to healthcare are diverse (e.g.using AI to efficiently diagnose and reduce error; making more accurate and earlier cancer diagnosis with AI; developing new medicines with AI), it is possible to consider that the primary aim of health-related AI applications is to analyze relationships between prevention or treatment techniques and patient outcomes.

At the same time, despite or because of all these promises, AI in healthcare raises several unprecedented ethical concerns related to its practice such as data privacy, automation of jobs, and representation biases. In this context, it is important to mobilize researchers in social sciences in order to discuss, criticize and compare the uses of AI in healthcare, together with stakeholders, patients, doctors, policy makers, and the industry. Moreover, given the differences across countries, it is essential to adopt an international and comparative perspective. From the European viewpoint, it is particularly interesting to look at Japan, where the applications of AI to healthcare are numerous and promising, while the social and ethical debates on this are lively.

These are the major purposes of this event, which is the second symposium of the French-German Dialogue on Japan, a joint initiative by JDZB and FFJ. It will discuss the topic of AI and health care, by bringing together trilateral perspectives, research findings, and hands-on experience by panelists from academia and business.

The session 1 will deal with the discussion on the innovative character or expected innovations by AI in healthcare from the perspectives of health professionals, the private sector, and policy makers, while the session 2 will tackle the issues of social and ethical aspects of AI in healthcare.

Mandatory registration : here

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