[kdd] CFP - KDD Responsible AI Special Day

[Calvin Hillis]

Call for Papers: Responsible AI Special Day at KDD 2025

Conference: KDD 2025 – The ACM SIGKDD Conference on Knowledge Discovery and
Data Mining
Special Day Theme: Responsible Artificial Intelligence
Location: Toronto, Canada
Date: August 5, 2025
Submission Deadline: Tentative - June 28
Overview

The Responsible AI Special Day at KDD 2025 invites paper submissions on
research, methodologies, and practical applications in responsible
artificial intelligence. The goal of this special day is to foster
discussions and advancements in ethical, fair, transparent, and socially
responsible AI systems. As AI continues to shape critical aspects of
society, ensuring these technologies are deployed in a responsible and
equitable manner is of paramount importance.
Topics of Interest

We encourage submissions on any topic within the broad space of responsible
AI, including but not limited to:

   -

   Adversarial AI and Red Teaming: Approaches for testing and improving AI
   robustness against adversarial threats.
   -

   Fairness and Bias in AI: Techniques to assess and mitigate biases in AI
   models and data.
   -

   Algorithmic Decision-Making and Accountability: Strategies to ensure
   recourse, interpretability, and transparency in AI-driven systems.
   -

   Trust and Reliability in AI Systems: Methods to enhance trust,
   appropriate reliance, and assurance testing.
   -

   Auditing AI Models and Systems: Approaches for evaluating AI
   applications across sectors, including industry, government, and civic
   society.
   -

   Sociotechnical Perspectives on AI: Research on the cultural, historical,
   and social implications of AI adoption.
   -

   Environmental Considerations in AI: Investigating the sustainability and
   ecological footprint of AI technologies.
   -

   Regulatory, Legal, and Policy Considerations: Governance frameworks,
   intellectual property, data protection, and regulatory compliance.
   -

   Human-Centered AI Design: Participatory, interdisciplinary, and
   values-sensitive approaches to AI system development.
   -

   AI Ethics and Social Impact: Studies on justice, equity, labor
   implications, and risks associated with AI deployment.
   -

   AI Ethics Education: Strategies for integrating responsible AI concepts
   into curricula and professional training programs
   -

   AI Ethics and Social Impact: Studies on justice, equity, labor
   implications, and risks associated with AI deployment.
   -

   Transparency and Explainability: Techniques for documenting,
   communicating, and improving the interpretability of AI systems.
   -

   Risk Management and AI Safety: Technical and policy-based strategies for
   mitigating AI harms and failures.

We welcome a broad range of perspectives and encourage interdisciplinary
submissions that connect responsible AI with other fields of study.
Submissions from diverse methodological backgrounds, including theoretical
work, position papers, empirical research, case studies, and practical
applications, are highly encouraged.
Submission Guidelines

Authors are invited to submit either original work or a summary of work
that has already been published in other conferences or journals relevant
to the topics above. If a work is being submitted which has already been
published, the authors would need to indicate this at the time of
submission and include the published version of their work. Submissions
will be reviewed through a single-blind peer-review process and preferably
follow the Lecture Notes in Computer Science (LNCS) format provided by
Springer.

   -

   Paper Format: Submissions are encouraged to adhere to the LNCS template,
   which can be found here
   <https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer-science/kzwwpvhwnvfj>
   .
   -

   Submission Link:
   openreview.net/group?id=KDD.org/2025/RAI_Special_Day#tab-your-consoles
   -

   Review Process: Single-blind peer review

Submission Types

We encourage a variety of manuscript types:

   -

   Original Papers: We accept different types of submissions, including
   research papers, and position papers. Manuscripts can be up to 6 pages in
   length.

   -

   Previously Published Papers: We welcome papers that have already been
   accepted at prestigious conferences or journals. Authors will only need to
   submit a 1-page abstract summarizing the published work, along with the
   full citation of the original publication.

Important Dates

   -

   Submission Deadline: [June 28, 2025]
   -

   Notification of Acceptance: [July 21, 2025]
   -

   Responsible AI Special Day: [August 5, 2025]

Organizing Committee

   -

   Ebrahim Bagheri, University of Toronto
   -

   Robin Cohen, University of Waterloo
   -

   Faezeh Ensan, Toronto Metropolitan University
   -

   Benjamin C. M. Fung, McGill University
   -

   Sébastien Gambs, Université du Québec à Montréal <https://uqam.ca/>
   -

   Reihaneh Rabbany, McGill University
   -

   Calvin Hillis, Toronto Metropolitan University

Contact

For inquiries, please contact responsibleai at torontomu.ca

We look forward to your contributions and an engaging discussion on the
future of Responsible AI at KDD 2025!
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