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.

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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

Testing & Verification of AI Systems:

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

Submit Your Content

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!