Responsible AI Day 

KDD 2025 – The ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Tuesday, August 5, 2025

Toronto, Canada

The Responsible AI Special Day at KDD 2025 will explore the intersection of machine learning, data mining, and the social sciences to advance ethical, accountable, and privacy-preserving AI. Building on the success of the Responsible AI conference tracks at the Canadian AI Conference, this event is rooted in the NSERC CREATE Responsible AI program, a multi-institutional initiative dedicated to training the next generation of AI researchers and practitioners. With a focus on AI Ethics by Design, Privacy-Enhanced Analytics, and AI Accountability, this special day will highlight cutting-edge research, interdisciplinary methodologies, and real-world applications that ensure AI-driven knowledge discovery remains aligned with societal values.

Designed for AI researchers, data scientists, social scientists, policymakers, and industry practitioners, the Responsible AI Special Day fosters cross-disciplinary collaboration through interactive panels, mentorship opportunities, and an AI ethics debate. Participants will engage in critical discussions on bias mitigation, privacy-enhancing AI techniques, and regulatory frameworks to ensure AI systems remain transparent, fair, and explainable. Graduate students, early-career professionals, and those working at the intersection of AI and domain-specific applications will particularly benefit from the event’s interdisciplinary format.

As AI increasingly shapes high-stakes decisions in healthcare, finance, and public policy, ensuring these systems are developed responsibly is more urgent than ever. Recent controversies surrounding intellectual property rights in AI and ethical concerns in generative models underscore the importance of addressing fairness, accountability, and governance in AI-driven knowledge discovery. By convening experts from academia, industry, and policy, this special day at KDD 2025 will equip attendees with the tools, frameworks, and insights necessary to build AI systems that are both powerful and socially responsible.

We invite paper submissions on research, methodologies, and practical applications in responsible artificial intelligence. Submissions from diverse methodological backgrounds, including theoretical work, position papers, empirical research, case studies, and practical applications, are highly encouraged. 

Submissions are now closed