Andrew J. Turner

As organisations hand more decisions to automated systems and AI agents, a tough question follows close behind, when something goes wrong, who was actually accountable, and did anyone realise, in the moment, that they were? This session looks at the growing gap between automated decision-making and human responsibility. Drawing on forensic research into decision failures, before and after AI entered the picture, Andrew J. Turner unpacks where "the system decided" quietly becomes a substitute fir "no one was actually watching" and what that means as agentic AI takes on more of the decisions organisations used to make deliberately. Expect a candid look at where automation genuinely earns trust, where it doesn't, and what accountability needs to look like when the decision-maker isn't human, but the consequences still are. Takaways Where automated decision-making quietly erodes human accountability, and how to spot it before it becomes a headline. A practical distinction between automating a task and automating a decision, and why organisations routinely blur the two. What "responsible AI" needs to mean operationally when agents, not people, are making the calls. How to build escalation and override points into automated systems before you need them, not after.