As AI enters autonomy and self-learning, a crucial question arises: how do we ensure its reliability, transparency, and ethics in a world where machines increasingly make decisions that impact us all?
Artificial Intelligence is transforming how we work, but with great power comes great responsibility. Introducing AI-augmented into testing such as Agentic AI is —making decisions, learning on their own, and even taking action in real-time—the big question is: How do we trust these systems? How do we assure their reliability and fairness?
This session introduces a bold new concept: AI-Assurance, a fresh take on Quality Assurance designed for the AI era. Imagine moving beyond simply testing software to becoming a key player in shaping how AI behaves, learns, and makes decisions. AI-Assurance isn’t just about testing AI-Infused systems (AIIAs)—or governing intelligent Agentic AI that can adapt, sense and test on their own.
Jonathon will explore how the role of testers is evolving. You’ll learn how to shift from traditional testing to becoming strategic leaders in AI-driven assurance. This isn’t just the future of testing—it’s the future of work. We’ll break down complex concepts like Agentic AI and Chain of Thought in simple, relatable terms, giving you practical steps to stay ahead in your career.
You’ll leave this session with a clear understanding of how to navigate emerging AI regulations (like AI Literacy within the EU AI Act), avoid common risks, and embrace new opportunities. If you’ve ever wondered what your future testing role might look like in a world dominated by AI, this session will unlock all the AI in testing hacks.
