In what ways do you think AI will strengthen or weaken human collaboration in QA teams?
Which is better OpenSource AI tools for Functional testing?
How to limit the dependency on AI involvement - because if its used wrongly then we need to test the TC / Automation scripts generated by AI that could lead to a deadlock ?
What is the format and expectation of this Q&A? I see probably 100+ questions already asked, who is going to answer those or are we expected to do that?
How can non-technical users leverage AI tools for automation purposes?
Any end to end DB testing tool ?
I think it might be little off, but any thoughts on how can AI/AI application play a role in the Data Scientist positions?
If you take away QA then you take away human quality. Which is essentially what we do. Products are made for humans. AI is a tool, an assistant, etc. To improve efficiency
Can AI help identify and reduce bias in open-source contributions?
What are the risks of over reliance on AI in SQA Community?
If we don’t fully understand how AI works internally, what does it mean to have “AI-driven” testing or software development?
What are the biggest misconceptions testers have about AI’s role in QA today?
But do we really think that AI can produce bug free software without any QA(human) Checks ?
How do you see the balance between human intuition and AI-driven decision-making evolving in testing over the next 5 years?