Coordinator: Jonas Braasch Advisors: Selmer Bringsjord, USA Ted Krueger, USA Johannes Goebel, USA Pauline Oliveros, USA Artificial Intelligence (AI) has made impressive progress since its start in 1956. It now influences our daily lives, as AI systems are an integral part of consumer technology today, from SIRI to automobiles to Semantic Web. However, while AI systems can be very successful if they are precisely told what to do (e.g., perform a parallel parking task, play chess), they are usually useless if the objectives are not clearly spelled out. They can learn along a precisely given trajectory (e.g., to learn to understand spoken text or compose an instrumental music piece in the tradition of JS Bach), but they don't break rules to produce something more exciting. Deep Blue can play chess, but if you present it with a game implemented on a chess board, it will be lost. In short, machines are simply not very creative. The idea of this white paper is to form an intellectual think tank to overcome existing roadblocks and investigate alternative strategies in AI.

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