Special Issue Journal Call for Papers
Responsible Artificial Intelligence: Methodologies, Implications, and Practices - Information Processing & Management Journal
Submission deadline: 30 October 2025
Special issue information:
This special issue seeks to bring together cutting-edge research, methodologies, and critical reflections on Responsible Artificial Intelligence (RAI). The issue aims to deepen our understanding of the ethical, legal, technical, and societal dimensions of AI systems. As AI technologies permeate decision-making across industry, government, and society, the demand for systems that are fair, accountable, transparent, and trustworthy has never been more urgent.
This special issue will provide a dedicated venue for interdisciplinary contributions addressing key challenges and opportunities in designing, deploying, and governing responsible AI systems.
Submissions are welcome on (but not limited to) the following topics:
- Fairness and Bias Mitigation in AI: Techniques for detecting, measuring, and mitigating bias in data and algorithms.
- Adversarial AI and Red Teaming: Robustness testing, threat modeling, and defense mechanisms;
- Interpretability and Explainability: Models and tools for transparent decision-making.
- Trust, Reliability, and Safety: Trust calibration, assurance testing, and risk management in AI.
- Accountability in Algorithmic Decision-Making: Legal and technical frameworks for recourse and oversight.
- Auditing and Monitoring AI Systems: Processes for real-time evaluation of deployed models.
- Human-Centered AI Design: Participatory design, co-creation, and value-sensitive approaches.
- Sociotechnical and Cultural Dimensions of AI: Historical, social, and cross-cultural studies of AI adoption.
- Environmental Impact of AI: Studies on AI?s carbon footprint and sustainable development.
- Regulatory, Legal, and Policy Considerations: Comparative analyses of AI governance and compliance.
- Responsible AI Education and Training: Curricula design and strategies for teaching AI ethics and safety.
- Social Impact and Labor Implications: Research on justice, equity, and human well-being in AI applications.
Types of Submissions:
We invite original, high-quality submissions that contribute substantively to the field of Responsible AI. These may include research articles that present empirical findings, theoretical contributions, or methodological innovations. We also welcome review articles that offer comprehensive and systematic surveys of specific sub-areas within responsible AI, synthesizing existing knowledge and identifying emerging trends, challenges, and opportunities for future research.
Submission Guidelines:
All submissions will undergo a single-blind peer-review process coordinated by the guest editors in coordination with the IP&M EiC.
Authors must disclose any overlapping publications and provide clear documentation of changes in revised submissions.
Submit your manuscript to the Special Issue category (VSI: ResponsibleAI) through the online submission system editorialmanager.com/ipm/default.aspx of Information Processing & Management.
All the submissions should follow the general author guidelines sciencedirect.com/journal/information-processing-and-management/publish/guide-for-authors of Information Processing & Management.