Connectionists: Call for Papers: Responsible AI Special Issue Journal - Information Processing & Management

[Calvin Hillis]

Call for Papers

Responsible Artificial Intelligence: Methodologies, Implications, and
Practices
Submission deadline: 30 October 2025

Guest editors:

   - Ebrahim Bagheri, University of Toronto, Professor (managing guest
   editor), ebrahim.bagheri at utoronto.ca
   - Robin Cohen, University of Waterloo, Professor, rcohen at uwaterloo.ca
   - Faezeh Ensan, Toronto Metropolitan University, Assistant Professor,
   fensan at torontomu.ca
   - Benjamin C. M. Fung, McGill University, Professor, ben.fung at mcgill.ca
   - Sébastien Gambs, Université du Québec à Montréal, Professor,
   gambs.sebastien at uqam.ca
   - Reihaneh Rabbany, McGill University, Assistant Professor,
   reihaneh.rabbany at mcgill.ca

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.

*Possible topics of submission:*

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.

Manuscript submission information:

Important dates:

Call for Papers Open: May 2025

Submission Deadline: October 30, 2025

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
<https://www.editorialmanager.com/ipm/default.aspx> of *Information
Processing & Management*. All the submissions should follow the general author
guidelines
<https://www.sciencedirect.com/journal/information-processing-and-management/publish/guide-for-authors>
 of *Information Processing & Management*.

Keywords:

Responsible AI, AI Ethics, Algorithmic Accountability, AI Auditing, Social
Implications of AI

Best regards,

*Calvin Hillis*
Program Coordinator *- Responsible Development of Artificial Intelligence
<https://www.torontomu.ca/responsible-ai/>*
PhD Student - *Media & Design Innovation, Toronto Metropolitan University
<https://www.torontomu.ca/phd-media-design-innovation/>*
LinkedIn <https://www.linkedin.com/in/calvin-hillis-3a608ba4>
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