Special Issue "Advanced Analyses and Algorithms for Trustworthy AI Systems and Applications"

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Computational and Applied Mathematics".

Deadline for manuscript submissions: 31 January 2024 | Viewed by 284

Special Issue Editors

Prof. Dr. Liang Hu
E-Mail Website
Guest Editor
College of Electronics and Information Engineering, Tongji University, 4800 Cao'an Highway, Shanghai 201804, China
Interests: trustworthy machine learning; recommender systems; lifelong learning; data science
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Interests: recommender systems; service computing; intelligent data analytics
Special Issues, Collections and Topics in MDPI journals
College of Computer Science and Technology, Zhejiang University, 866 Yuhangtang Rd, Xihu, Hangzhou 310027, China
Interests: privacy-preserving machine learning; federated learning; trustworthy machine learning

Special Issue Information

Dear Colleagues,

Artificial intelligence (AI) has had a revolutionary influence on modern human society and has been playing an irreplaceable role in many aspects of our lives. Modern life is full of interactions with AI applications, such as e-business, finance, fashion, transportation, and healthcare. However, increasing forms of attack on AI systems have been witnessed with the rapid development of AI applications in every domain. For example, AI algorithms can cause biased and unfair recommendations in e-business; AIGC (AI-generated content) systems may produce indecent and sexist content, which can result in negative social impacts; AI financial applications may carry the risk of leaking user privacy and producing unexpected trading operations; the features generated by AI models can potentially be hacked to reconstruct private data and sensitive information.

All the above vulnerabilities of existing AI systems can lead to serious social and economic consequences. Therefore, building trustworthy AI systems and applications has become an inescapable challenge in both academia and industry. In this Special Issue, we encourage authors to target the construction of AI systems and applications, considering trustworthiness in various dimensions, such as security, robustness, non-discrimination, fairness, explainability, privacy, auditability, accountability, and environmental well-being.

The Special Issue invites submissions on all topics of analyses, algorithms, and models for trustworthy AI systems and applications, including, but not limited to, federated learning, privacy-persevering computation, causal learning, natural language processing, computer vision, graph neural networks, social network analysis, biometric data analysis, recommender systems, facial and voice recognition systems, autonomous driving systems, financial trading systems, power and energy management systems, and healthcare information systems.

Prof. Dr. Liang Hu
Prof. Dr. Jian Cao
Dr. Chaochao Chen
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. Mathematics 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 2600 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.


  • trustworthy algorithms
  • trustworthy machine learning
  • trustworthy AI systems
  • trustworthy AI applications
  • personal privacy
  • data security

Published Papers

This special issue is now open for submission.
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