By Noha El Attar, Professor of Management Practice in Organizational Behavior and Christina Terra, Professor, Department of Economics.

This project did not start in a corporate boardroom, or a formal strategic planning session. It began in a far more ordinary, and therefore more revealing, place: a shared lunch between colleagues. By the time dessert arrived, the talk drifted toward a question that had been rising in the background of all our work but had not yet been named directly: what is artificial intelligence doing to us?

Not only to our jobs, or to productivity, or to institutional efficiency, but to our minds. To our habits of attention. To the way we remember, judge, imagine, and decide. And, more quietly but more urgently, to our sense of what it means to be human in a world where thinking itself is increasingly shared with machines.

We invited learners directly into the uncertainty during a three day seminar for 800 bachelor learners across our campuses, deciding to co-create meaning rather than deliver conclusions. This initiative, which we came to call Learning Br.AI.n, expanded to nearly six hundred learners across three continents, supported by a committed team of thirty facilitators and professors.