About AIBSD 2026
With the increasing appetite for data in data-driven methods, the issues of biased and scarce data have become a major bottleneck in developing generalizable and scalable artificial intelligence solutions, as well as effective deployment of these solutions in real-world scenarios. To tackle these challenges, researchers from both academia and industry must collaborate and make progress in fundamental research and applied technologies. The organizing committee and keynote speakers of AIBSD 2026 consist of experts from both academia and industry with rich experiences in designing and developing robust artificial intelligence algorithms and transferring them to real-world solutions. AIBSD 2026 provides a focused venue to discuss and disseminate research related to bias and scarcity topics in artificial intelligence.
When
January 26 - 27, 2026
Keynote Speakers
[More info about the keynote speakers will be updated here]
AIBSD 2026 Schedule
[in Singapore local time]
[More info about the schedule will be updated here]
Submission
Submission Instructions
We welcome full paper submissions (up to 7 pages, excluding references or supplementary materials). Please submit at the following CMT website:
AIBSD 2026 CMT submission website.
The paper submissions must be in pdf format and use the AAAI 2026 official templates. All submissions must be anonymous and conform to the AAAI 2026 standards for double-blind review. The accepted papers will be posted on the workshop website and will not appear in the AAAI 2026 proceedings. At least one author of each accepted submission must present the paper at the workshop in person.
Submission deadline: October 22, 2025 11:59 PM EST
Notification to authors: November 5, 2025
Camera ready deadline: November 12, 2025 11:59 PM EST
We invite the submission of original and high-quality research papers in the topics related to biased or scarce data. Accepted work will be presented as either an oral, spotlight, or poster presentation. By submitting a paper to the AIBSD 2026 workshop for review, the authors must agree that they are willing and able to serve as the reviewers of the AIBSD 2026 workshop submissions if needed (decided by the AIBSD 2026 workshop organizing team); otherwise, their submissions are subject to desk rejection.
Topics
The topics for AIBSD 2026 include, but are not limited to:
- Algorithms and theories for explainable and interpretable AI models.
- Application-specific designs for explainable AI, e.g., healthcare, autonomous driving, etc.
- Algorithms and theories for learning AI models under bias and scarcity.
- Performance characterization of AI algorithms and systems under bias and scarcity.
- Algorithms for secure and privacy-aware machine learning for AI.
- Algorithms and theories for trustworthy AI models.
- The role of adjacent fields of study (e.g, computational social science) in mitigating issues of bias and trust in AI.
- Continuous refinement of AI models using active/online learning.
- Meta-learning models from various existing task-specific AI models.
- Limitation of or methods incorporating large language model under bias and/or data scarcity settings.
- Brave new ideas to learn AI models under bias and scarcity.
AIBSD 2026 Venue
Singapore EXPO, Singapore
AIBSD 2026 will be held at Singapore EXPO, Singapore on January 26-27, 2026.
Organizers
Kuan-Chuan Peng
Mitsubishi Electric Research Laboratories (MERL)
Abhishek Aich
NEC Laboratories, America
Ziyan Wu
UII America, Inc.