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AI Assurance in Action: Practical Testing Scenarios for AI Systems

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AI Assurance sounds straightforward until an AI system is deployed in the real world. A chatbot may produce a convincing but incorrect answer. An AI agent may follow instructions hidden inside a document. A model upgrade may change previously reliable responses. An AI test-generation tool may create test cases that look correct but miss

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Testing Beyond Pass or Fail: A QA Engineer’s Lessons from IMDA’s LLM Testing Starter Kit at Spritle

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I’ve been in QA for a few years now. I know how testing works. You write a test case. You define the expected result. You run it. It either passes or fails. Simple. So when our team started working on an AI-powered feature, I thought, okay, same process. Different kind of input, but same idea.

Testing Beyond Pass or Fail: A QA Engineer’s Lessons from IMDA’s LLM Testing Starter Kit at Spritle Read More »