Full Papers
Original research contributions with substantial technical depth and evaluation.
Machine Learning/CORE Unranked
TAG-DS 2026
Topology, Algebra, and Geometry in Data Science
TAG-DS 2026 is a conference focused on the intersection of technology, artificial intelligence, and societal impact, with a strong emphasis on AI safety and responsible innovation. It brings together researchers, practitioners, and policymakers to present and discuss cutting-edge work in AI ethics, governance, and technical safety.
Key deadlines
Verified September 9, 2026Full paper
June 16, 2026
AoE
Conference timeline
Submission and decisions
Full paperKey deadline
June 16, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short Papers
Concise presentations of preliminary results, position papers, or case studies.
Workshop Papers
Submissions to affiliated workshops, including the TAG-AI Safety 2026 workshop.
Research areas in scope
01
Conference Tracks
AI SafetyAI GovernanceEthics of AIAI Policy and RegulationHuman-AI InteractionAI for Social GoodRobustness and Reliability of AI SystemsExplainability and Transparency in AIBias and Fairness in AIAI Alignment
Policies worth checking twice
- Submissions must be anonymized for double-blind review.
- Full papers are limited to 10 pages, short papers to 5 pages, excluding references.
- Dual submission to other conferences or journals is not permitted.
- Author lists cannot be changed after the submission deadline.
- All submissions must include a statement on the use of AI tools in the research and writing process.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Official conference siteConference WorkshopsTAG-AI Safety 2026TAG-AI Safety 2025TAG-ML 2023TAG-ML 2023 Papers and Posters
Last verified September 9, 2026