AI agents can sound confident, act autonomously, and still go wrong in ways traditional testing will never catch. In this episode, we explore how teams can build trust in autonomous AI agents. From silent failures and hallucinations to prompt injection, bias, and multi-agent handoff errors, they reveal why testing AI requires a whole new mindset. Tune in for practical insights into what it really takes to make AI systems safe, reliable, and ready for the real world. Guest: Deepshikha, Global Practice Head - AI in Testing, Nagarro Host: Gurpreet Bhadesh
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