Guide-AI Workshop 2025

Call for Papers

Recent breakthroughs in data-driven technologies are transforming industries, infrastructure, and society at large. As AI systems scale and permeate critical applications, there is a growing need to ensure that their foundations—data and data management—are efficient, auditable, and engineered for reliability and adaptability.

Guide-AI (Govern, Understand, Integrate Data for Efficient AI) aims to foster collaboration between the data management community and researchers in AI, Machine Learning, and Theoretical Computer Science. The workshop will provide a venue to exchange ideas, identify emerging technical challenges, and explore visionary systems and methods that enhance the effectiveness and reliability of modern AI workflows.

We welcome submissions that present original research, system designs, tools, or position papers that aim to advance the foundation of scalable, governable, and trustworthy AI systems.

Submissions must follow the ACM sigconf template. All submissions are double-blind. Regular papers: up to 8 pages (plus unlimited references). Short papers: up to 4 pages.

All submissions are managed via the CMT system. For further details, please visit the CMT website.

Topics of Interest

Scalable and efficient data governance architectures for AI
Robust data integration, preprocessing, and cleaning pipelines
Data quality, anomaly detection, and validation techniques
Provenance and lineage tracking for model interpretability and auditability
Causal reasoning for model transparency and intervention
Privacy-preserving infrastructure and mechanisms for data sharing
Human-guided feedback loops for improving model utility
Visualization tools that assist in model debugging and data inspection
Software testing, auditing, and observability in AI workflows
The role of system design and algorithms in downstream deployment stability
Dataset discovery, documentation, and usage governance
Interfaces and collaboration mechanisms across data and domain experts

Author Guidelines

Authors must prepare their manuscripts in accordance with the ACM sigconf format. Please ensure that the papers are anonymized to support the double-blind review process. Refer to the official guidelines for detailed formatting instructions.

Submission Guidelines

All submissions must be uploaded via the CMT system.

Where to submit: Please visit the CMT submission page here.

How to submit: Follow the instructions provided on the CMT platform. Upon submission, you will receive a confirmation email (CMT acknowledgment). Please retain this acknowledgment for your records.