What are some potential risks associated with relying on AI and Machine Learning models for functional testing?
- Difficulty in Model Interpretation
- Increased Testing Effort
- Lack of Understanding of Model Decisions
- Overreliance on Automation
Relying on AI and Machine Learning models in functional testing introduces risks such as a lack of understanding of model decisions. Models may make complex decisions that are challenging for humans to interpret, leading to potential blind spots in testing. Testers must be cautious and supplement AI-based testing with human expertise to ensure a comprehensive and reliable testing strategy.
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