https://at-ceu.studyguide.timeedit.net/modules/ECBS5298?type=CORE'What to do when things really go wrong in AI'This practice-oriented course is built on the idea that the most valuable lessons in Data and Artificial Intelligence come from projects that did NOT go as planned. It focuses on real-world AI failures, wrong assumptions, and hard decisions-and on what can be learned from them.The course explores what it actually takes to bring AI "to the street": dealing with messy data, organizational politics, unrealistic expectations, governance constraints, and human resistance. Guided by the motto "What to do when things really go wrong in AI", students learn to assess AI initiatives realistically and make better decisions under uncertainty in complex organizational settings.