Frank Kirchner, University of Bremen, Germany
Andreas Butz, University of Munich, Germany
Randy Goebel, University of Alberta, Canada
Malik Ghallab, Laas CNRS, France
Donia Scott, University of Sussex, UK
Oliviero Stock, Bruno Kessler Center, Italy
Jean-Marc David, Renault Group, France
Paolo Traverso, FBK.ICT IRST, Italy
Prof. Frank Kirchner, DFKI Bremen / University Bremen
"The main challenge for AI in the next decade will be integration. We must study and ultimately understand how to integrate the various areas of AI (from Reasoning to DeepLearning and Robotics) into systems that serve mankind for the better and that are transparent in their design and application."
Prof. Andreas Butz, LMU
"AI has the potential to revolutionize the interplay between humans and computers in many ways, but it may also create false expectations and raise issues of transparency of trust. A human-centered approach to the design of intelligent systems will therefore be paramount."
Dr. Jean‐Marc David, Renault
“Delivering autonomous systems in critical application domains requires to build robust and trustable AI systems. Fully autonomous vehicles is an
exciting and challenging goal that will drive research in many AI fields, and will require to combine different approaches such as learning and reasoning."
Prof. Malik Ghallab, LAAS‐CNRS
“AI Perspectives and challenges are in particular about the composition and hierarchization of heterogeneous models for various cognitive and sensori‐motor functions; they are about the integration of components for perception, planning, acting, interacting, monitoring, goal reasoning and natural language understanding, as well as the integration of learning and adaption within every component into human‐aware, comprehensible, provably safe and socially trustable systems.”
Prof. Randy G. Goebel, University of Alberta
“Never has there been a more appropriate time to invest in high quality scholarship on perspectives across the spectrum of Artificial Intelligence, to help establish the scientific foundations for the next generation of research.“
Prof. Donia Scott, University of Sussex
"Technological and theoretical advances in Artificial Intelligence are rapidly leading to new applications to meet social need and social convenience. The imperative to explore and debate ethical considerations and responsible science in our field has never been greater.”
Prof. Oliviero Stock, FBK‐ICT IRST
"At different moments AI tends to be grossly underestimated or overestimated. It is important instead to have a balanced and insightful perspective about basic and applied research of this multifaced field, and of its potential to improve our world."
Prof. Paolo Traverso, FBK‐ICT IRST
“AI as a commodity” is just a short term trend. We still need a lot of creative research in AI to have more and more impact in the world, e.g., to create more livable cities, to defeat diseases, to let people live and work in a more safe, pleasant, and enjoyable environment.”
- ISSN: 2523-398X