Generative AI as the QA's copilot
Generative AI (like ChatGPT or other assistants based on large language models) can speed up manual QA tasks: drafting test cases, generating data, summarizing requirements or suggesting scenarios. It does not replace the tester: it augments them. Human judgment remains essential.
Distinguish two things: 'AI for QA' (using AI as a tool to test better, the focus of this module) and 'QA of AI' (testing systems that contain AI, a specialized field covered by the ISTQB CT-AI certification).
- Speeds up repetitive writing and analysis tasks.
- Suggests cases or scenarios that might be overlooked.
- Always requires human review of what is generated.
QuestionToca para voltear
Difference between 'AI for QA' and 'QA of AI'?
What is the correct role of generative AI in manual QA work?