Full papers
Submitted for peer review; accepted papers will be presented at the workshop.
AI/CORE Unranked
SuRE Workshop 2026
Workshop on Sustainability and Resource-Efficiency of Artificial Intelligence
The 1st Workshop on Sustainability and Resource-Efficiency of Artificial Intelligence (SuRE @ IJCAI 2026) focuses on quantifiable, reproducible methods to improve the energy, data, and compute efficiency of AI systems across their lifecycle. It aims to bridge the gap between theoretical 'Green AI' discussions and practical, real-world deployments, particularly in embedded and edge systems, by fostering research on metrics, benchmarks, and sustainable AI infrastructure.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short papers
Submitted for peer review; accepted papers will be presented at the workshop.
Journal track
Submissions eligible for fast-tracked consideration in a companion journal.
Research areas in scope
01
Research Themes
Data-efficient AICompute-efficient AIEnergy-efficient AIMetrics and benchmarks for AI sustainabilityStandards for measuring efficiencySustainable AI in embedded and edge deploymentsCase studies in industrial, agricultural, and healthcare AI systemsTrade-offs between performance and sustainabilityOpen problems and shared infrastructure needs for sustainable AI
Policies worth checking twice
- Submissions must be anonymized for double-blind review.
- Papers must not be under review at another venue during submission.
- Dual submission to other conferences or journals is not permitted.
- Camera-ready versions must adhere to specified formatting guidelines.
- Author lists cannot be changed after the submission deadline.
- Authors must include an AI-use statement in their submissions.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026