As AI reshapes every sector, a critical question remains overlooked: human centred according to whom? 
Drawing on decades of work across intercultural understanding, cultural analytics, and ethical technology, Peter Mousaferiadis explores what it means to design AI systems that fully reflect the world’s cultural diversity rather than a small subset of it. From data bias and algorithmic homogenisation to cultural knowledge gaps and assumptions embedded in global AI governance, Peter unpacks how culture fundamentally shapes the way technology is built, interpreted, and deployed.
This session reveals why culturally aware data is essentialand how Cultural Infusion's Atlas eschews amorphous, conceptually unstable identity categories and enables organisations, governments, and innovators to understand specifically who their systems include, exclude, or misrepresent.

Participants will walk away with a clear sense of what a truly human centred global AI future requires: humility, cultural literacy, and evidence based insight into the world’s rich human diversity.