As AI becomes increasingly embedded in learning and work, knowing how to use AI tools is no longer enough. Learners need the agency to understand, shape, constrain, and critically decide how intelligent systems should participate in human activities.
This presentation introduces AI sovereignty as a shift from simply consuming AI capabilities toward actively shaping intelligent actors. Through concrete examples, it illustrates a developmental progression from understanding AI logic and co-designing AI behaviors to making deliberate decisions about what should be automated, what should remain human-driven, and where productive friction should be preserved for learning.
Attendees will gain a practical perspective on designing learning experiences that develop human agency, judgment, and responsibility alongside AI capabilities, and principles they can apply when creating meaningful human–AI collaboration in educational and organizational learning contexts.
