As AI systems move beyond controlled environments into networks, infrastructure, and physical systems, they face adversarial conditions and unpredictable real-world behaviour. Explore what it takes to maintain trust in AI once it operates in the wild, where visibility is limited, threats are active, and outcomes cannot be fully predicted. From cybersecurity to sensing and system resilience, this talk examines how control breaks down outside the lab. When AI leaves the lab, how do we keep trusting what it does?

The future of work is moving from static automation to AI agents that can help manage, monitor and reskill workforces in real time. As companies face talent shortages, skills gaps and increasingly complex workforces, what does it take to build AI systems that actually work for the people, roles and industries they serve?