The OECD.AI Policy Navigator

Funded by the BMWK, this technology programme aims to facilitate the effective adoption of generative AI in businesses by showcasing practical use cases in areas such as knowledge management, maintenance, healthcare, and production. The programme is specifically designed to address the unique needs and opportunities of SMEs, ensuring that AI solutions are both relevant and accessible to them.

Coordinated by the AI Advisory Centre (BeKI), AI Guidelines are being developed to ensure a harmonised inter-ministerial approach to the use of AI in public administration. These guidelines promote a value-based approach to AI deployment and offer practical guidance for both employees utilising AI systems and the respective administrative units responsible for providing these systems.

The Network of German Centres of Excellence for AI Research is comprised of six leading research institutions in the field of Artificial Intelligence: BIFOLD, DFKI, MCML, LAMARR, ScaDS.AI Dresden/Leipzig and TUE.AI Center. Together, they work towards strengthening Germany as a top-tier location for AI technologies as well as increasing the national and international visibility of German AI research.

Funded by the Federal Ministry for Economic Affairs and Climate Action (BMWK), this joint project develops and trains generative AI methods for autonomous driving. It seeks to remove barriers to the deployment of automated and autonomous vehicles. For the first time, participating companies are sharing proprietary datasets to jointly train foundation models.

Germany has advanced healthcare interoperability through the Digital Act, which expanded the Coordination Office for Interoperability into a Competence Centre. Supported by the Interop Council and expert working groups, it promotes technical, syntactic, and semantic interoperability, with the Health IT Interoperability Governance Ordinance (GIGV) ensuring a holistic, coordinated approach to developing binding guidelines and standards.

The GDNG is a key enabler to facilitate the access to healthcare data for secondary use. Its measures include procedural simplifications on re-using health data across multiple states (Länder). It further provides a legal basis for healthcare institutions to re-use their patients‘ data for research, patient safety and quality assurance, and enables statutory health insurance funds to utilize data to improve the quality of care and to support AI applications.

Surgical interventions are a core element of multimodal treatment strategies for solid cancers and continue to play a central role in modern oncology. Artificial intelligence is expected to contribute to more personalised and precise approaches to cancer care, supporting clinical decisions before, during, and after surgery. The funding measure seeks to advance the precision of oncological surgery through the development and application of interactive AI technologies.

Germany established uniform and transparent standards for the use of cloud-computing services for processing health data, protecting sensitive health information from unauthorized access, manipulation, or loss. This regulation can positively impact AI use and research by providing a secure and standardised framework for handling sensitive health data, fostering trust and enabling more robust, compliant AI-driven innovations in healthcare.

Launched by the BMI, this framework focuses on an opportunity-oriented and responsible approach to AI within the Ministry and its affiliates. It outlines guiding principles, such as human-centred design, transparency, and fairness, and identifies critical factors along the AI value chain that contribute to successful AI use in public administration. Similarly, the Foreign Office (AA) has adopted an AI-Charter.