23 Apr

Hannover Messe

 

 Hannover

15 May

Weizenbaum Symposium

 

 Berlin

17 May

Rise of AI Conference

 

 Berlin

11 Jun

CEBIT

 

 Hannover

27 Jun

AI Expo Europe 2018

 

 Amsterdam

Shaping Artificial Intelligence according to the needs of society

Self-learning systems are the next step in the process of digital transformation. Advances in Artificial Intelligence enable machines, robots and software systems to accomplish increasingly complex tasks. As a result, industry and society will change. In order to design self-learning systems according to the needs of humans and society the Plattform Lernende Systeme brings together leading expertise from science, industry and society and connects discern perspectives and interests. In thematically distinguished interdisciplinary working groups, they discuss technological, economic and social questions on the development and introduction of self-learning systems. From the results they conclude scenarios, recommendations, guidelines or roadmaps.

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What are self-learning systems?

Equipped with Artificial Intelligence, self-learning systems solve tasks increasingly on their own. The basis of their learning process is build on data. Self-learning systems are more and more able to solve complex tasks and to adopt to their environment and user. They also work under changing circumstances and are robust when encountering unforeseeable events.

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Aims of the platform

Germany ranks amongst the pioneers in the area of self-learning systems and Artificial Intelligence. The Plattform Lernende Systeme brings together leading expertise from science, industry and society and connects discern perspectives and interests. The platform fosters qualification and the dialogue with different stakeholders and sees itself as a forum for exchange and cooperation.

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How we work

The Plattform Lernende Systeme links some 200 experts from science, industry and society. From the results of their discussions they develop visions, scenarios and options for action or the responsible use of Artificial Intelligence.

Self-learning systems: giving a policy framework for a future challenge

Why is the Federal Ministry of Education and Research (BMBF) stepping up funding for self-learning systems? What exactly can be done to develop Artificial Intelligence? How will we cooperate with colleagues in the AI sector? Georg Schütte, State Secretary at the BMBF, has the answers (in German).

News

Working life of the future: Science Year 2018 kicks off

Federal Research Minister Johanna Wanka opened “Science Year 2018 – Working life of the future” on 19 February at the Federal Ministry of Education and Research (BMBF) in Berlin.

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