AI + Compliance

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From Traditional QA to AI Assurance and Governance

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 the unique challenges introduced by Large Language Models (LLMs). What I expected […]

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Breaking the Black Box: From Traditional QA to AI Assurance and Governance

Testing for Trust: What IMDA’s LLM Testing Starter Kit Teaches Us At Spritle About AI Assurance

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

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AI Safety Under Fire: Why 42 U.S. States Say Chatbots Are Putting Users at Risk

Artificial Intelligence is evolving at a speed few technologies in history have matched. What began as simple automation has now transformed into systems capable of conversation, emotional expression, and autonomous decision-making. AI chatbots are no longer limited to answering questions — they are advising users, offering emotional support, and influencing real-world choices. But as AI

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Vertical-First Agents: Why Industry-Specific AI Beats Generic Models

Over the past year, artificial intelligence has evolved rapidly—from simple question-answering systems to AI agents capable of executing real business actions. But as enterprises begin deploying AI across operations, one truth is becoming increasingly clear: Generic AI may impress. Vertical-first AI delivers results. Across healthcare, banking, finance, retail, logistics, manufacturing, and other regulated industries, organizations

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