Here's a question that's wonderfully easy to dodge. That is, right up until a regulator, a journalist, or a visibly unhappy customer asks it for you: when your AI gets it wrong, who exactly is responsible? With the EU AI Act now baring its teeth and “the algorithm did it” no longer accepted in polite company, every leader using AI needs an answer ready before they need it badly. This keynote translates governance, explainability and risk out of compliance-deck dialect and into decisions a leader can actually make: what “explainable” has to mean in practice, where accountability really sits, how to govern AI without strangling it in its cradle, and the uncomfortable questions worth asking before you ship rather than during the post-mortem. No legal background required; you'll leave able to ask the right questions and sleep a little better.

This is a keynote, but can be done as a regular breakout-session