The 7th IEEE International Conference on Artificial Intelligence Testing (AI TEST 2025) is a leading forum dedicated to advancing the testing, validation, and evaluation of artificial intelligence (AI) systems. As AI continues to play an integral role in various industries, ensuring its reliability, robustness, and fairness has become a critical challenge. This conference brings together researchers, practitioners, and industry experts to discuss innovative AI testing methodologies, tools, and best practices. AI TEST 2025 will cover a wide range of topics, including AI model verification, adversarial attack detection, test automation, bias mitigation, and real-world AI applications. Through keynote talks, paper presentations, and interactive discussions, the conference aims to foster collaboration and drive advancements in AI testing and quality assurance.
Call for Papers - IEEE AI Test 2025
"6th IEEE International Conference on Artificial Intelligence Testing"
July 21-24, 2025 | Tucson, Arizona, United States
As artificial intelligence (AI) technologies continue to evolve and integrate into various applications, ensuring their reliability, robustness, and security is critical. The 6th IEEE International Conference on Artificial Intelligence Testing (AI TEST 2025) serves as a premier venue for researchers, practitioners, and industry leaders to exchange insights, methodologies, and innovations in AI testing and validation.
AI TEST 2025 invites submissions of original research papers covering AI testing methodologies, tools, and applications. Selected high-quality papers will be invited for extended versions in a special issue of a peer-reviewed journal.
Topics of Interest (Including but not limited to):
AI Testing & Validation
- Testing AI models and machine learning algorithms
- Verification, validation, and certification of AI systems
- Test automation for AI applications
- Testing generative AI and large language models
Reliability & Safety of AI Systems
- Robustness testing of AI models
- Adversarial attack detection and mitigation
- Safety assurance for autonomous and AI-driven systems
AI in Software Testing
- AI-driven test generation and automation
- AI for software quality assurance
- Intelligent debugging and fault localization
Ethics, Fairness, and Bias in AI Testing
- Identifying and mitigating bias in AI models
- Explainability and interpretability testing for AI
- Regulatory compliance and ethical considerations in AI validation
AI in Real-World Applications
- Testing AI in healthcare, finance, cybersecurity, and transportation
- Performance evaluation of AI-powered decision-making systems
- Case studies and industry experiences in AI testing
All submissions must be made through: https://easychair.org/conferences/?conf=aitest2025
Important Dates
Paper Submission: April 01, 2025
Notification of Acceptance: May 10, 2025
Camera-ready and author’s registration: June 1, 2025
For more details, visit the conference website: https://conf.researchr.org/track/cisose-2025/ai-test2025
Contact:
Jerry Gao - San Jose State University
Steering Committee, CISOSE 2025
07月21日
2025
07月24日
2025
初稿截稿日期
初稿录用通知日期
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