Important Dates
Main Papers:
- April 1st, 2026 Submission deadline
- May 10th, 2026 Author’s notification
- June 1st, 2026 Camera-ready and author’s registration
- July 27th to July 30th 2026, Conference dates
Topics of Interest
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
Submission
Paper Submission
Regular papers (8 pages IEEE double column format) and short papers (4 pages IEEE double column format).
We welcome submissions of both regular research papers (limited to 8 pages), that describe original and significant work or report on case studies and empirical research, and short papers (limited to 4 pages) that describe late-breaking research results or work in progress with timely and innovative ideas.
AI Testing in Practice (8 pages IEEE double column format).
The AI Testing in Practice Track provides a forum for networking, exchanging ideas and innovative or experimental practices to address SE research that impacts directly on practice on software testing for AI.
Tool Demo Track (6 pages IEEE double column format).
The tool track provides a forum to present and demonstrate innovative tools and/or new benchmarking datasets in the context of software testing for AI.
Submission Guideline
All papers must be written in English. Manuscripts must include a title, an abstract, and a list of 4-6 keywords. All papers must be prepared in the IEEE double column proceedings format. Please see: https://www.ieee.org/conferences/publishing/templates.html
IEEE AITest 2026 uses a double-blind review policy. Authors are required to remove their names, affiliation(s) and other identifying information from the header of the manuscript. Authors are required to cite their previous work in a neutral manner, for example, avoid “in our previous work [3]” and instead use “as shown in [3]”. Papers that do not meet these anonymization requirements may be desk-rejected without further review.
All submitted papers will be peer-reviewed. The name(s) of the author(s) will not be visible to the reviewers of a paper. Authors should report any conflict of interest with the list of PC members during submission of the manuscript, in which case the PC Chairs will exclude the corresponding PC member(s) from reviewing the paper. At least one of the authors of any accepted paper would have to register for the conference and confirm that she/he will present the paper in person.
Authors must submit their manuscripts via the following link by April 1st, 2026, 23:59 AoE at the latest: https://easychair.org/conferences/?conf=ieeeaitest2026.