The Explainable AI Revolution: From Black Boxes to Transparent Insights
A special issue of Electronics (ISSN 2079-9292).
Deadline for manuscript submissions: 15 April 2026 | Viewed by 4
Special Issue Editors
Interests: artificial intelligence; fuzzy logic; robotics and automation; fashion design
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; machine learning methods using fuzzy systems; neural networks and evolutionary algorithms
Special Issues, Collections and Topics in MDPI journals
Interests: fuzzy logic; artificial intelligence; machine learning; AI and ML applications; intelligent transportation systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue invites researchers to contribute original research exploring the burgeoning field of explainable artificial intelligence (XAI). As AI models become increasingly complex and integrated into critical applications, the demand for transparency, interpretability, and trustworthiness has never been more pressing. This Special Issue aims to gather cutting-edge advancements in XAI methodologies, applications, and their societal implications. We welcome submissions that delve into novel techniques for interpreting diverse AI models, evaluate the effectiveness of XAI in real-world scenarios, and address the ethical, legal, and social challenges associated with deploying transparent AI systems.
We are particularly interested in papers that bridge the gap between theoretical XAI concepts and practical implementations across various domains, including healthcare, finance, autonomous systems, and scientific discovery. Topics of interest include, but are not limited to, post hoc explanation methods, intrinsically interpretable models, fuzzy logic-based XAI, explainable fuzzy neural networks, causality in XAI, human–AI collaboration for interpretability, user studies on XAI effectiveness, and the role of XAI in ensuring fairness and accountability in AI decision making. Through this Special Issue, we seek to foster a deeper understanding of how XAI can transform AI from an opaque “black box” into a powerful, transparent, and trusted tool that empowers user and promotes responsible innovation.
We look forward to receiving your valuable contributions.
Dr. Raheleh Jafari
Dr. Alexander Gegov
Dr. Farzad Arabikhan
Dr. Alexandar Ichtev
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- explainable AI
- interpretability
- fuzzy systems
- transparency
- accountability
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
