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Lernende Systeme – Germany’s platform for artificial intelligence

© Rafe Swan/Getty Images

Background and aims

Germany is a pioneer in the field of learning systems and artificial intelligence. The Federal Ministry of Education and Research (BMBF) launched the Plattform Lernende Systeme in order to help develop this field for the benefit of both individuals and society as a whole. Learning systems should improve quality of life, promote good jobs, secure growth and prosperity, and foster sustainability in our economy, transport system and energy supply.

The platform is a forum for dialogue and cooperation that pools the existing expertise in this field in order to help position Germany as a global leader in learning systems technology. Experts from science, industry and civil society work together to promote understanding of how learning systems work and the areas in which they can be used. As well as highlighting their benefits for individuals, society and the economy, they also identify the relevant challenges and policy options. The platform promotes a dialogue between science, industry, government and the public on the technological, legal, ethical, security and social questions associated with the use of learning systems.

The Plattform Lernende Systeme’s work is coordinated by a project office at acatech. A steering committee chaired by Federal Minister Anja Karliczek and acatech President Karl-Heinz Streibich sets the platform’s strategic direction and determines the issues that it addresses. The core of the platform is formed by seven interdisciplinary, cross-sectoral working groups, in which some 200 experts from science, industry and civil society exchange ideas and draft discussion papers, application scenarios, guidelines and recommendations. Four of the working groups focus on cross-cutting technological, economic and social themes that affect all learning systems applications:

  • Technological Enablers and Data Science
  • Future of Work and Human-Machine Interaction
  • IT Security, Privacy, Legal and Ethical Framework
  • Business Model Innovations

The remaining three working groups investigate specific fields of application for learning systems and develop scenarios outlining how artificial intelligence can be developed and deployed in different areas:

  • Mobility and Intelligent Transport Systems
  • Health Care, Medical Technology, Care
  • Hostile-to-Life Environments

Steering committee members

  • Anja Karliczek (Co-Vorsitzende)
    Bundesministerium für Bildung und Forschung (BMBF)
  • Karl-Heinz Streibich (Co-Vorsitzender)
    acatech – Deutsche Akademie der Technikwissenschaften
  • Regina Ammicht Quinn
    Eberhard Karls Universität Tübingen
  • Elmar Degenhart
    Continental AG
  • Hans Dietl
    Otto Bock Healthcare Products GmbH
  • Holger Hanselka
    Karlsruher Institut für Technologie (KIT)
  • Ralf Klinkenberg
    RapidMiner GmbH
  • Hanna Köpcke
    Webdata Solutions GmbH
  • Reimund Neugebauer
    Fraunhofer-Gesellschaft
  • Reinhard Ploss
    Infineon Technologies AG
  • Tanja Rückert
  • Frank Riemensperger
    Accenture Dienstleistungen GmbH
  • Wolfgang Wahlster
    Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)

Interview with Wolf-Dieter Lukas (BMBF, in German)

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Interviews with working group members (in German)

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Further information

Plattform Lernende Systeme website
Plattform Lernende Systeme on Twitter

 

  • Project duration

    09/2017 — 08/2022

  • Management

    Karl-Heinz Streibich
    acatech - Deutsche Akademie der Technikwissenschaften

    Coordination

    Dr. Johannes Winter
    acatech Geschäftsstelle
    Tel.: +49 89 520309-14
    winter@acatech.de

    Dr. Andreas Heindl
    acatech Geschäftsstelle
    Tel.: +49 89 520309-62
    heindl@acatech.de

  • Funding

  • Topic

    Digital & Self-learning

News

Sparks from the machine

Munich, 24. September 2020

AI for SMEs: Plattform Lernende Systeme delivers guidelines

Screenshot englisch version of map on AI

Munich, 29. July 2020

AI in Germany: Extended map provides overview of research, applications and transfer

Screenshot web-talk

Munich, 20. July 2020

Communicating knowledge to AI – Web-Talk about practical experiences

Screenshot web-talk

Munich, 7. July 2020

Web-Talks on the transformation of the economy

All News

Publications

Securing the future with AI – Approaches for increased resilience and digital sovereignty

Published: 16 November 2020

AI business models for travel and transport

Published: 26 November 2020

Introduction of AI systems in companies

Published: 13 November 2020

From data to AI

Published: 06 November 2020

All Publications

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