CEE-AI

Another reason for starting CEE AI is the disruptive potential of Artificial Intelligence: While society can greatly benefit from it, it needs to be used responsibly. Within CEE AI, we believe that explainable AI (XAI) is a major requirement for achieving this. XAI allows humans to understand what AI methods are doing, why it recommends particular decisions and how to safeguard it against malicious attacks. Again, TU Dresden and Fraunhofer together can combine the expertise to jointly develop those methods... Early research results by leading AI organizations, such as Deepmind, support this hypothesis. Moreover, this combination will facilitate the explainable AI approaches developed in the center. CEE AI is uniquely positioned to achieve this by having (a) a rich background of the center in knowledge representation and logics, (b) scalable services developed within the ScaDS BMBF competence center and (c) researchers who have started to develop modern AI architectures that..

Primary location: Industrial United States