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...