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Call for Special Issues

AI Perspectives welcomes Special Issues on timely topics related to the field of artificial intelligence applications at large. The objective of Special Issues is to bring together recent and high quality works in a research domain, to promote key advances in specific research areas covered by the journal, and to provide overviews of the state-of-the-art developments in emerging artificial intelligence research areas.


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An Interview with Editor in Chief, Frank Kirchner

FrankKirchnerandRobotIn this interview, AI Perspectives' Editor in Chief, Frank Kirchner shares why he chose his career path in Artificial Intelligence, discusses challenges in the field of AI, and outlines some of his goals for the journal.

Read the interview here

Articles

Editors

Editor-in-Chief
Frank Kirchner, DFKI Bremen / University of Bremen, Germany

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

Associate Editor
Roberto Badaro, Federal University of Bahia, Brazil
Andreas Butz, University of Munich, Germany
Yan Cui, Wuyi University, China
Andreas Dengel, DFKI Kaiserslautern, 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
Maosong Sun, Tsinghua University, China
Oliver Thomas, University of Osnabrück, Germany
Paolo Traverso, FBK.ICT IRST, Italy

Editorial Advisory Board
Wolfgang Wahlster, DFKI GmbH, Germany

Aims and Scope

AI Perspectives will cover the application of AI in industry, healthcare, transport, education, social sciences and humanities, and business and economics. We use a strict high-level selection process to ensure an excellent publication quality.

AI Perspectives publishes innovative applications of artificial intelligence with a focus on an in-depth description how basic research enabled the application, how applied research triggers new questions for basic research, and how integration of various AI methods in application can be achieved. This includes articles discussing the interaction of data driven vs. model driven AI, system oriented and integrated research, and the responsibility, ethics, explainability, and transparency of AI.

Read the full aims and scope here.

Funding your APC

​​​​​​​Open access funding and policy support by SpringerOpen​​

​​​​We offer a free open access support service to make it easier for you to discover and apply for article-processing charge (APC) funding. Learn more here


Mission statement

Kirchner

"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 Deep Learning and Robotics) into systems that serve mankind for the better and that are transparent in their design and application.“

Read the full mission statement here.

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

    Usage
    2,879 downloads

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