What are the challenges of incorporating AI into the testing process?

As the title implies, what kind of challenges or issues do you think we will face when trying to combine AI in the testing process?

Now, as my testing experience, and AI knowledge, are rather limited. I asked an AI (basically the Bing chatbot again :face_with_peeking_eye:) to give me some pointers…

  • Choosing the right type of AI for the specific testing scenario
  • Researching the exact use cases and expected outcomes
  • Validating the actions of the applications based on the input
  • Analyzing the app for performance, functionality, scalability, security, and stability
  • Training and updating the AI models with adequate and relevant data

It used these two websites for the answer above;

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