Cross-KIC Activity Artificial Intelligence

EIT Digital, EIT Health, EIT Manufacturing, EIT ClimateKIC and EIT InnoEnergy

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EIT Digital, EIT Health, EIT Manufacturing, EIT ClimateKIC and EIT InnoEnergy have joined forces to foster collaboration in, education about, and uptake of Artificial Intelligence by European enterprises and society:

  • Leveraging AI for economic benefits while securing European values
  • Educating on AI for society and workforce to be ready for new challenges
  • Engage in the shaping the development of AI policies and regulations

About KICs

The EIT Artificial Intelligence Community consists of the following Knowledge and Innovation Communities, or KICs: EIT Climate-KIC, EIT Digital, EIT InnoEnergy (since 2021), EIT Manufacturing and EIT Urban Mobility (in 2020 only). Through the KICs, EIT strengthens cooperation among businesses (including SMEs), higher education institutions and research organisations, forms dynamic pan-European partnerships, and creates favourable environments for creative thought processes and innovations to flourish.

The KICs carry out activities that cover the entire innovation chain: training and education programmes, reinforcing the journey from research to the market, innovation projects, bringing new products and services to market, as well as business incubators and accelerators.

About the Cross-KIC Artificial Intelligence Activity

As part of the Cross-KIC Innovation Impact initiative, we aim at facilitating the KICs’ innovation capacities and leveraging the impact of the KICs’ innovation pillar.

Artificial intelligence (AI) has become an area of strategic importance and a key driver of economic development. As a result, a European initiative was kicked off in Q2, 2019 called “Artificial Intelligence for Europe”. A budget allocated of around € 2.5 billion has been earmarked in order to increase efforts in the key areas of AI in Europe:

  • Boost the EU’s technological and industrial capacity in AI, uptaking it across public and private sectors;
  • Empower the education system to pre-empt the socio-economic changes that will come with the rise of AI and modernize training and talent management systems that support the labour market and increase the employability of trainees;
  • Build ethical and legal frameworks to ensure all rights of citizens are protected.

Furthermore, the AI Alliance has been founded with the aim of supporting the technological, ethical, legal and socio-economic aspects that boost EU's research and industrial capacity in AI, and to put AI at the service of European citizens and economy. In particular, it seeks to ensure that policies are in place to secure each EU citizen during this initiative.

The EIT in turn is investing resources in this Cross KIC initiative that will position the EIT Community as one of the major players and thought leaders on AI in Europe.

The main areas to be investigated include:

Data & algorithms

  • Data protection, privacy and governance
  • Best-in-class data platforms and AI algorithms
  • Exchange and inter-operability of data platforms
  • Algorithm testing and validation

Applications & business

  • Deployment of AI in existing verticals, or creation of new AI-driven verticals
  • European leadership in building AI-driven businesses
  • Development of data-based business models

Policy & regulation

  • EU, national and local policies favoring data sovereignty & AI development (incl. field testing or user-testing)
  • Legal aspects (e.g. transparency, liability)
  • Ethical aspects
  • Current regulation on the validation of algorithms

Skills & capabilities

  • Identifying training programmes available within the KIC community
  • For individuals: support in identifying training needs and skill gaps
  • For organisations: assess status quo with respect to AI, identify potential opportunities
A European Approach to Artificial Intelligence EIT Digital Download
Transforming Healthcare with AI: The Impact on the Workforce and Organisations EIT Health Get report
AI and Ethics in the Health Innovation Community EIT Health Get report
Presentations of the Results Dissemination event Nov 30, 2020 EIT Community Download
Emerging AI and Data Driven Business Models in Europe EIT Urban Mobility Download
Creation of a Taxonomy for the European AI Ecosystem EIT Climate-KIC Download

Welcome to the AI Networks Map,

The results of the above-mentioned investigation are presented in a network-based visual database, through four different views. This kind of visualization allows for easier identification of nodes and the networks they form.

The first view, European AI Landscape presents the currently identified AI Capabilities, connecting them to possible Use Cases, the industries where they are applied, examples of how these can be financed in an European context and the supporting technologies. The second view, Organization Networks, presents Start-ups, Research Institutions and Associations applying Artificial Intelligence in 6 different Use Cases across 20 different European countries. The third one, AI Courses, presents all the AI-related courses offered by the KIC community, grouped by tags and by audience - professionals or students. The final view, Entire Network, presents all the currently identified elements, allowing a broader research. It consolidates Use Cases, Industries, Regulations, Countries and different AI capabilities.

How to explore the views:
In the bottom left area of a view, the user can filter one or more element types. Element types are overarching categories like “Use Cases”, “Industry”, “Organization”, “Country”, and so on. When an element is selected, the Selection Pane opens automatically on the right hand side of the screen. This allows the user to choose specific elements inside the currently selected element type.

For more detailed information about one element, there is an option in the top left corner to see the data either as network or table. The buttons in the bottom right area of the screen allow for zooming in and out.
European AI Landscape   Organization Networks   AI Courses   Entire Network

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