In 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
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.
Find more details here.
An Interview with Editor in Chief, Frank Kirchner
Articles
Editors
Editor-in Chief
Prof. Frank Kirchner, DFKI Bremen / University Bremen
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
Maosong Sun, Tsinghua University, China
Oliver Thomas, University of Osnabrück, Germany
Paolo Traverso, FBK.ICT IRST, Italy
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.
Mission statement
"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.“
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.
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Annual Journal Metrics
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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 acceptanceUsage
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- ISSN: 2523-398X (electronic)
