Special Issue "White-Box Artificial Intelligence"

A special issue of Digital (ISSN 2673-6470).

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 867

Special Issue Editors

School of Computing, Engineering and Mathematics, University of Brighton, Brighton BN2 4GJ, UK
Interests: artificial intelligence; machine learning; cybersecurity
Special Issues, Collections and Topics in MDPI journals
Department of Mathematics and Computer Science (DMI), University of Catania, 95125 Catania, Italy
Interests: software engineering; artificial intelligence; distributed systems; energy production
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the steady increase in the use of Artificial Intelligence (AI) and Machine Learning (ML) technologies in various domains, such as Cybersecurity, Helthcare and Transportation, there is a need to make AI and ML algorithms more accessible and easier to develop.

AI and ML algorithms require experts to invest in time to develop models that people can use in their respective domains. Black-box algorithm development allows people to use such models, but these cannot be interpreted, whereas White-box algorithms are interpretable to a certain extent.

This SI focuses on both theoretical and practical aspects of White-box Artificial Intelligence and Machine Learning. Particularly, we are looking for approaches that can facilitate algorithm development to make it less time consuming for developers and enchance the transparency.

Topics of interest include, but are not limited to:

  • Enchancing usability between AI or ML systems and humans;
  • Explainability of AI or ML algorithms;
  • Transparent AI or ML algorithms;
  • Evaluation metrics;
  • Visualization techniques;
  • User interfaces that facilitate algorithm development (GUIs, NLP, Chatbots);
  • Automated code generation;
  • Novel applications of Human-Centred AI or ML;
  • Trust, Privacy and Security Issues;
  • Experiences with the development of industrial ML systems;
  • Evaluation of programming languages and libraries when developing ML systems.

You may choose our Joint Special Issue in Sensors.

Dr. Nikolaos Polatidis
Prof. Marcello Trovati
Prof. Dr. Emiliano Tramontana
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. Digital is an international peer-reviewed open access quarterly 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 1000 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.

Published Papers

There is no accepted submissions to this special issue at this moment.
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