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.
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).
