Frontiers in Responsible and Trustworthy AI

Advances in AI and ML invites original research papers, reviews, and case studies for a special issue focused on responsible, ethical, and trustworthy AI systems. We seek contributions that advance the theoretical foundations, technical innovations, and practical implementations of AI systems that prioritize fairness, accountability, interpretability, robustness, and privacy.

Topics of Interest

We welcome original high-quality submissions on (but not limited to) the following topics:

·         Explainable AI (XAI) in deep learning

·         Fairness and bias mitigation in ML models

·         Robustness to adversarial attacks and distributional shifts

·         Federated learning and privacy-preserving AI

·         Ethical frameworks and AI governance

·         Human-in-the-loop and interactive learning systems

·         Real-world case studies and applications of AI in high-stakes domains (healthcare, law, climate, etc.)

·         Scalability and efficiency in deploying trustworthy AI systems

·         Safe and reliable autonomous control, decision support, and generative AI

·         Open datasets and reproducibility in responsible AI

Important Dates

Submission Deadline: September 15, 2025

Expected Publication: December 2025 (online first)

Lead Guest Editor

Dr. Chong Yu

Department of Computer Science

University of Cincinnati

Cincinnati, OH, USA

yuc5@ucmail.uc.edu

Submission Guidelines

Authors should follow the journal’s standard submission guidelines and indicate that their manuscript is for the special issue “Frontiers in Responsible and Trustworthy AI.” Submissions will undergo a rigorous peer-review process.

For inquiries, contact the editorial team at: editorialstaff.oajaiml@gmail.com