Who’s who in AI?

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Over the past few years, the rapid advances in artificial intelligence have given rise to numerous initiatives around the world dealing with technological development and political, economic and social issues relating to the use of AI at various levels. You can find an overview of the key players in AI in Germany, Europe and the leading countries in technology throughout the world here.

AI players worldwide

  •  
    Germany
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    EU
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    USA
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    China
  •  
    Rest of the world

State-run and international initiatives

  • Ethics Commission on Automated Driving
  • AI HLG
  • AI Task Force Italy
    Plattform Lernende Systeme
  • AI Strategy Advisory Committee
    AI Task Force India
    ITU Focus Group on AI for Health
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  • JEDI
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Research establishments and initiatives

  • Future of Humanity
  • Future of Life Institute
  • The AI Initiative
    AI Now Institute
    CFI
  • IEEE
    Ethics in Action
  • CLAIRE
  • ELLIS
    CIFAR
  • Hasso-Plattner-Institut (HPI)
    MIRI
    Inria
    Alan Turing Institute
    EurAI
    Gesellschaft für Informatik (GI)
    CyberValley
  • Amii
    Fraunhofer Big Data and AI Alliance
    DFKI
    MPI for Intelligent Systems
    Fortiss
  • IDSIA
    Karlsruher Institut für Technologie (KIT)
    AITC
    Stanford AI Lab (SAIL)
    FZI
    de:hub KI
    MILA
    Vector Institute
    Kompetenzzentren Maschinelles Lernen

Business-driven initiatives

  • OCEANIS
  • KI-Bundesverband
    France is AI
    Partnership on AI
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  • Bitkom
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  • appliedAI
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  • CAIIA
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Other AI initiatives

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  •  
  • Nordic AI Institute
  • AI for Good Foundation
  • CITY.AI
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  • OpenAI
    GoodAI
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social
technological
 
Players’ area
of focus
 
  • Social: Solutions and research funding focussing on socio-technical and social embedding of AI, ethical and legal aspects, political and legal frameworks, assessing technological consequences, international cooperation, location and business support
  • Technological: Supporting general technology-oriented research and innovations, activities for researching, developing, and applying AI, all the way to technocratic approaches
  • Socio-economic research topics are generally classified as “social”, algorithm development in particular more often as “technological”

Do you know of a player we have missed? Please send us a message to let us know.