About us

IEEE AITest 2026 is the eighth edition of an IEEE conference focusing on the synergy of AI and software testing. It provides a forum for researchers and practitioners to exchange novel research results, articulate problems and challenges, and discuss theories, methodologies, and tools. The conference covers topics such as testing AI systems, AI-driven software testing, assurance of agentic AI and large models, and human-machine collaboration. It is part of the IEEE CISOSE 2026 congress.

Important Dates

Wed, Apr 15, 2026
Submission deadline
Mon, May 25, 2026
Author’s notification
Mon, Jun 15, 2026
Camera-ready and author’s registration

Call For Paper

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

The conference invites researchers and practitioners to submit manuscripts on the synergy of AI and software testing, including research results, theories, methodologies, and tools. All papers must be in English, prepared in IEEE double-column format, and adhere to a double-blind review policy.

Committee

Organizing committee

Dr. Hong Zhu

General Chair

Oxford Brookes University, UK

Dr. Francesca Lonetti

General Chair

National Research Council, Italy

Dr. Yu Song

General Chair

Fukuoka Institute of Technology, Japan

Dr. Haihua Chen

Program Chair

University of North Texas, USA

Dr. Tatsuhiro Tsuchiya

Program Chair

Osaka University, Japan

Dr. Claudio de la Riva

Program Chair

University of Oviedo, Spain