Message from the Guest Editors
Artificial intelligence (AI) is one of the most promising fields today, in many different research areas. However, while many of the current AI algorithms exhibit high performance, they are incomprehensible in terms of explainability. The term XAI is related with those algorithms and techniques which apply AI in a way that the solution can be understood by human users. Thus, the goal behind XAI systems is that the decisions made or suggested by such systems be explained with transparency. This Special Issue aims not only to review the latest research progress in the field of XAI but also their application in the different research areas. We encourage submissions of conceptual, empirical, and literature review papers focusing on this field. Different types and approaches of XAI are welcome in this Special Issue.
- Explainable artificial intelligence / Human-understandable AI systems
- Dr. Jose Antonio Iglesias Martinez (Computer Science and Engineering Department. Universidad Carlos III de Madrid, Spain firstname.lastname@example.org).
- Prof. Dr. Plamen Angelov (Computing and Communications Department. Lancaster University, UK email@example.com)
- Dr. María Paz Sesmero Lorente (Computer Science and Engineering Department. Universidad Carlos III de Madrid, Spain firstname.lastname@example.org)
Deadline for manuscript submissions: 31 January 2021
Special Session Web: Link