How well positioned is Germany in AI research?

Research questions

  • What distinguishes Germany's AI landscape and research policy in an international comparison?
  • What framework conditions does AI need?
  • How effective are the government's programs to promote AI?
  • What effects does AI have on sectors and economic regions?
  • How can AI impacts be measured? (Bibliometrics, patent analyses, network-based methods)
     

Projects

Ways to strengthen research and application of artificial intelligence in Europe. Focus study for the Commission of Experts for Research and Innovation (EFI)

The first step in this innovative economics-focused study was to record and evaluate the performance of the EU and its Member States in the field of AI and complementary technologies in comparison with leading international countries, considering the major global and European companies.

The second step involved recording and evaluating institutions, support measures and governance mechanisms that are effective in relation to AI at EU level and in selected member states. The third step involved identifying and analyzing international examples of good practice in strategies and institutional configurations for supporting and promoting AI. Finally, recommendations were derived on how German and European policy can contribute to strengthening the UK as a location for AI.

Contributions to the study on the EU’s strategic digital technologies for EU R&I Investments 

For the study of the EU scientists of Fraunhofer ISI delivered expert contributions on the topics Artificial Intelligence, Advanced Computing, Data Analytics, Robotics and Cybersecurity. To determine Europe's performance in these high-tech fields bibliometric and patent analyses were conducted and estimates in terms of weaknesses and strengths were delivered.

Empirical study on AI use in production (AI readiness)

With the help of the development of AI Readiness, the dissemination of AI in the manufacturing industry is specifically analysed. On the basis of representative operational data on the use of AI technologies in the industrial enterprises of Baden-Württemberg and Germany, the actual AI readiness can thus be determined, comparisons can be made and essential patterns can be analysed. The results provide essential fields of action and options for stakeholders from politics and industry regarding to the key topic of AI in production.