Call for Submissions: IEEE AITest 2026
Conference dates: 27-30 July, 2026 | Fukuoka, Japan
The IEEE AITest 2026 conference is the eighth edition of a serious IEEE conference with a focus on the synergy of AI and software testing. This year’s conference is scheduled to take place in Fukuoka, Japan, from 27-30 July 2026. The conference is part of IEEE CISOSE 2026 congress.
Why Participate?
- Share your work with international experts and peers, and gain valuable feedback
Opportunities
- Present your emerging ideas and applications
- Showcase your demos of innovative systems, tools, prototypes, and interactive experiences
- Utilize your platform to share new advances, ideas, and solutions
- Highlight your contributions
- Contribute to event programming and technical content
- Experience groundbreaking workshops, special sessions, and panels
Topics
- Verification & Validation Methodologies & Frameworks
- Test Oracles & Adequacy Metrics
- Deep Learning & Reinforcement Learning Testing
- Adversarial Robustness & Safety Assurance
- Tools & Resources for Automated Testing of AI
AI-Driven Software Testing (AI4Test):
- Autonomous Test Orchestration
- Self-Healing & Automated Maintenance
- Search-Based & Optimized Testing
- Crowdsourced & Swarm Intelligence
- Verification of AI-Generated Code
Assurance of Agentic AI & Large Models:
- Agentic Reliability & Goal-Reasoning
- Multi-Agent Coordination & Swarm Validation
- LLM Quality, Trust, Fairness, Bias, & Ethics
- Multimodal & Generative Model Evaluation
- Test of Large Models of Their Applications
Human-Machine Collaboration:
- Assurance of Human-AI Pair Programming
- Human-in-the-Loop (HITL) Verification
- Collaborative Debugging & Interactive Testing
- Human-AI Interaction (HAI) Metrics for QA
- AI Impact on CS Education & Assessment
Data, Policy, & Observability:
- Data Quality Validation & Enhancement for AI
- Quality Assurance for Unstructured Training Data
- Synthetic Data Generation & Validation
- Large-scale Unstructured Data Quality Certification
- AI & Data Management Policies
Domain-Specific & Physical AI:
- Embodied AI: Robotics, Drones, Autonomous Vehicles
- Computer Vision & NLP Quality Assurance
- Testing AI for Critical Domain Applications
- Cognitive Industry & Smart Manufacturing
- Identity & Security Verification
In addition to submitting your paper to IEEE AITest 2026, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE’s data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission. Thank you!
