News

Germany’s federal government today finalised its Artificial Intelligence (AI) strategy. The goal is to establish “AI made in Germany” as a seal of quality for conscientious AI and make up ground lost to international competitors. Plattform Lernende Systeme – Germany’s platform for Artificial Intelligence – is to contribute to broad societal dialogue on AI.

Dieter Spath, President of acatech – the German National Academy of Science and Engineering, is stepping down from his position as Co-Chair of Plattform Lernende Systeme, to be succeeded by Karl-Heinz Streibich, who has been at the helm of the Academy alongside Spath since May 2018.

When it comes to artificial intelligence (AI) Germany has very good prospects on the international stage. If it can quickly turn its well-established head start in research into applications focusing on practical uses, Germany can take the lead in the AI race. This was the message that Plattform Lernende Systeme, Germany’s platform for artificial intelligence, delivered at this year’s CEBIT.

Germany is leading the way when it comes to researching and developing artificial intelligence (AI). If this expertise can be put to use quickly, Germany can secure global technological leadership and drive forward the responsible use of self-learning systems both at home and abroad.

Self-learning systems are the key to meeting the increasing requirements of productivity in an ageing society and to preserving prosperity, says Mr Dieter Spath in conclusion of his presentation on 22 January at the Munich School of Philosophy.

Artificial intelligence (AI) and self-learning systems will become the drivers of industry in the coming years and will at the same time change many realms of society. Fraunhofer-Gesellschaft, in cooperation with Germany’s digital association Bitkom, invited stakeholders to Artificial Intelligence Day, a networking event held in Berlin on 29 November.

The Federal Ministry for Education and Research (BMBF) is reinforcing research on artificial intelligence and launching the forward-looking project “Learning Systems”. As a first step, a new expert platform is being established in order to improve the collaboration between research and application as well as clarify how learning systems can be useful for humans.