Testing in the Era of AI: From QA to Trust Engineering [Testμ 2026]

At Testμ Conf 2026, Capgemini executive Kishor Wikhe argued that AI is not eliminating software testing but transforming it into “trust engineering,” a continuous practice focused on proving how AI-enabled systems behave after deployment rather than merely confirming pre-release functionality. He said green CI pipelines validate only the checks they contain and cannot guarantee resilience against real-world risks such as sudden demand spikes, data exposure, model drift, hallucinated customer responses, bias, or unsafe autonomous-agent actions. Wikhe characterized hallucinations as governance liabilities when they affect business, legal, or public decisions, and described agent failures primarily as authority and access-control problems rather than matters of malicious intent. Drawing on aviation-style incident investigation, he noted growing regulatory emphasis on continuous monitoring, incident reporting, documented evidence, and post-deployment accountability. He distinguished testing with AI, which improves testing speed and coverage for deterministic software, from testing AI systems, which addresses non-deterministic outputs and seeks evidence of reliability, security, fairness, resilience, and appropriate human escalation over time.

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