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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
AI Assurance in Action: Practical Testing Scenarios for AI Systems Read More »
Stable systems. Trustworthy AI. Safe automation. Reliable releases. Strong customer experiences. Software testing is entering a new phase. For years, QA teams have focused on functional testing, regression testing, automation, integration testing, and release validation. These practices remain important, but AI is changing how quality is achieved. Repetitive activities such as regression execution, test-data
Quality Assurance has always been about understanding risk and validating systems before they reach production. After more than eight years in QA and now working in AI security, governance, and red teaming, I often compare traditional testing practices with the challenges introduced by AI systems. While the risks have evolved from software defects to hallucinations,
Lessons from IMDA’s LLM Testing Starter Kit: An AI Assurance Perspective Read More »
I recently had the opportunity to review IMDA’s Starter Kit for Testing LLM-Based Applications for Safety and Reliability. As someone who has spent over 14 years in Quality Assurance, I was curious to see how established testing principles are being adapted to address the unique challenges introduced by Large Language Models (LLMs). What I expected
Breaking the Black Box: From Traditional QA to AI Assurance and Governance Read More »
Breaking the Black Box: From Traditional QA to AI Assurance and Governance I recently had the opportunity to review IMDA’s Starter Kit for Testing LLM-Based Applications for Safety and Reliability. As someone who has spent over 14 years in Quality Assurance, I was curious to see how established testing principles are being adapted to address
