Trustworthy AI for Video, Web, and Social Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 January 2026 | Viewed by 86
Special Issue Editors
Interests: action recognition; anomaly detection; video image processing; one- and few-shot learning; deep learning; tensor learning; domain adaptation
Special Issues, Collections and Topics in MDPI journals
Interests: bioinformatics; computer vision; machine learning; human-centered computing; biological computing
Interests: artificial intelligence; computer vision; pattern recognition; big-data analysis; biometrics; medical imaging; Internet of Things (IoT); image processing; biomedical engineering
Special Issues, Collections and Topics in MDPI journals
Interests: responsive AI; neural/deep learning; responsible AI; human-centered AI; affective computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This proposed Special Issue seeks to explore the frontier of trustworthy, cross-domain, and human-centric AI solutions—particularly at the intersection of video processing, social data, and web technologies. This Special Issue builds upon the successful TIME 2025 workshop (https://time.griffith.edu.au/workshop/time2025/) at WWW 2025, which underscored the urgency of addressing challenges such as misinformation, privacy, ethical AI, and algorithmic transparency across diverse digital environments.
(1) Scope, Focus, and Purpose
Focus:
The focus of this Special Issue is to investigate innovative computational methods that bridge technical advancement with societal impact, particularly in video analytics, social computing, and web AI.
Scope:
This Special Issue welcomes high-quality original research papers, extended workshop papers, and comprehensive reviews on the following topics:
- Interpretable and robust video analytics;
- Secure and ethical AI in clinical and web domains;
- Privacy-preserving machine learning;
- Cross-lingual and cross-domain model generalization;
- Human motion understanding and smart city applications;
- Fair and explainable content moderation;
- Multimodal misinformation detection and mitigation.
Purpose:
The purpose of this Special Issue is to inspire a new wave of responsible, cross-disciplinary AI research that is deeply aligned with both practical utility and ethical mandates, ensuring broader adoption and trust in real-world systems.
(2) Relation to Existing Literature
While literature exists in silos—be it action recognition, content moderation, or healthcare AI—few collections holistically address how methods from one domain (e.g., federated learning in health) can inform others (e.g., privacy in social media). This Special Issue uniquely positions itself to foster methodological synthesis and real-world adaptation, directly supplementing recent WWW, NeurIPS, and AAAI contributions.
We look forward to your contributions.
Dr. Lei Wang
Dr. Md Zakir Hossain
Dr. Syed Mohammed Shamsul Islam
Prof. Dr. Tom Gedeon
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
- trustworthy AI
- video understanding
- cross-domain learning
- privacy and fairness
- responsible machine learning
- content moderation
- multimodal misinformation detection
- human-centered AI
- ethical web technologies
- interpretable deep learning
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.
