@@DanielKnott each point you mentioned is invaluable I would also add some points if you don't mind :) Myth: AI Can Replace Human Testers Completely. Reality: While AI excels at automating tasks and crafting test cases, it lacks human testers' critical thinking and adaptability. AI struggles with unexpected scenarios and lacks the user intuition for thorough testing. Myth: AI Testing is Perfect. Reality: AI's effectiveness relies on its training data. Biases or incomplete data can lead to missed bugs or flawed tests. AI testing is valuable but not foolproof; it's a tool, not a fix-all solution.
Thanks for adding your points, both are so true. Now we as testers need to advocate for this wrong perception. Hope that companies don’t do the same mistakes like years ago with automation…
So clear and informative
Thank you Cemal. Any thoughts on the topic?
@@DanielKnott each point you mentioned is invaluable
I would also add some points if you don't mind :)
Myth: AI Can Replace Human Testers Completely.
Reality: While AI excels at automating tasks and crafting test cases, it lacks human testers' critical thinking and adaptability. AI struggles with unexpected scenarios and lacks the user intuition for thorough testing.
Myth: AI Testing is Perfect.
Reality: AI's effectiveness relies on its training data. Biases or incomplete data can lead to missed bugs or flawed tests. AI testing is valuable but not foolproof; it's a tool, not a fix-all solution.
Thanks for adding your points, both are so true. Now we as testers need to advocate for this wrong perception. Hope that companies don’t do the same mistakes like years ago with automation…
so helpful thank you
Glad it was helpful!