Building Trust in AI-Powered Testing: Overcoming Hallucinations and Improving Quality

AI is already part of the software testing lifecycle. Teams are using it to analyze requirements, generate test cases, assist with automation, and prioritize testing effort. The productivity gains are real, but so are the risks.

This session explores one of the most significant and least discussed challenges of AI in software testing: hallucinations. Not as a theoretical concern, but as a practical quality engineering problem that is already showing up in test suites, automation scripts, and release decisions.

Through real-world scenarios and practical frameworks, this session examines where AI hallucinations occur in the testing lifecycle, why they are particularly difficult to detect, and what QA teams can do to build genuine confidence in AI-generated outputs, without slowing down delivery.