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Editorial Board

Frank Kirchner, DFKI Bremen / University of Bremen, Germany

Managing Editor
Nina Hoyer, DFKI GmbH, Robotics Innovation Center, Bremen, Germany

Associate Editors
Roberto Badaro, Federal University of Bahia, Brazil
Andreas Butz, University of Munich, Germany
Malik Ghallab, Laas CNRS, France
Randy Goebel, University of Alberta, Canada
Peter G. Kirchschlaeger, University of Lucerne, Switzerland
Donia Scott, University of Sussex, UK
Oliviero Stock, Bruno Kessler Center, Italy
Maosong Sun, Tsinghua University, China
Oliver Thomas, University of Osnabrück, Germany
Paolo Traverso, FBK.ICT IRST, Italy

Editorial Board

Prof. Frank Kirchner, DFKI Bremen / University Bremen

Frank Kirchner Profile"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."

Dr. Nina Hoyer, DFKI GmbH, Robotics Innovation Center, Bremen, Germany
New Content Item
"Artificial intelligence is seen as futuristic technology, in whose research and development it is necessary to invest sustainably. At the same time, it is also an important task to create acceptance and trust for these developments in society."

Prof. Roberto Badaro, Federal University of Bahia
Roberto-Badaro"Artificial intelligence is a complex array of technologies that are increasingly prevalent in business, society, and especially healthcare. Algorithms are proven to give the best recommendation for some complex medical decisions. They can guide researchers to construct clinical trials and essential cohorts to follow the most prevalent human diseases. This perspective journal opens an excellent opportunity for healthcare workers to get into this revolutionary area of knowledge."

Prof. Andreas Butz, LMU

andreas-butz"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."

Prof. Malik Ghallab, LAAS‐CNRS

Malik Ghallab“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

randy-goebel-highres“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. Peter Kirchschlaeger, University of Lucerne
New Content Item"Artificial Intelligence research gives rise to many ethical questions and challenges regarding its implementation. Research on AI from a focused ethical perspective will help us to identify them. With a greater understanding in this area, we will be able to enjoy the ethical benefits of AI, and avoid the ethical risks."


Prof. Donia Scott, University of Sussex

Donia Scott"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

stock"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. Maosong Sun, Tsinghua University
New Content Item"Natural language processing is one of the most fascinating emerging fields within AI. Without computer understanding of human languages, the next generation AI, that is, an interpretable, reasoning, trustworthy, as well as ethical AI system, would be impossible. This is really a great challenge for researchers worldwide that deserves greater efforts and attention from a variety of related perspectives in the coming years." 

Prof. Paolo Traverso, FBK‐ICT IRST

Paolo_Traverso(FBK)“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.”

COVID-19 and impact on peer review

As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times.  Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.

Annual Journal Metrics

  • Speed
    69.9 days to first decision for reviewed manuscripts only
    42 days to first decision for all manuscripts
    94.7 days from submission to acceptance


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