Showcasing the Future of AI/Human Interaction

AI is transforming software testing — not by replacing humans, but by redefining how they work together. In this session, Jason Arbon demonstrates how human intuition and AI scale and speed, combine to deliver faster, broader, and more consistent quality. Drawing on real results from testers.ai and IcebergQA, he introduces the Four-Shot Testing Flow and Quality Quadrants framework for scaling coverage while maintaining context and judgment.

The talk explores where humans excel, where AI dominates, and the weaknesses of both — including what happens when they’re combined. Attendees will see how standard and custom AI testing agents, contextual triage, persona creation, prompt-driven test generation, and opt-in reporting create continuous improvement loops. Finally, Jason compares human-only, AI-only, and hybrid testing across key metrics like time-to-value, coverage, and cost, providing a clear picture of how testers and AI will collaborate to shape the next generation of quality assurance.

Be part of the loop as AI quickly transforms software testing and quality.

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Jason ArbonJason Arbon

Jason Arbon has been blending humans and machines in testing for more than a decade. At Google and Microsoft, he scaled testing for Search and Chrome. At Applause/uTest, he redefined the balance between human testers and automation. Today, as CEO of testers.ai and Principal of IcebergQA, Jason builds AI testing agents that both complement and compete with experts to test the world’s software. His candid stories and hands-on experience offer rare insight into the promises—and pitfalls—of AI–tester collaboration.