Human-in-the-Loop at Scale: The Real Test of Responsible AI
AI failures rarely look like crashes. More often, they appear as confident but incorrect answers, subtle bias, or culturally inappropriate responses.
In his latest article, Hemraj Bedassee, Testlio’s Delivery Excellence Practitioner, outlines how traditional QA methods fall short when applied to AI. He highlights the importance of human judgment in identifying issues like bias, hallucinations, and tone problems. The article breaks down how a structured human-in-the-loop model can strengthen AI quality and accountability at scale.