Shaping AI:
Ethics, Power, Responsibility

AI sorts by probability and ignores deviations. This is precisely where research-based artist Jooyoung Oh comes in: she tracks overlooked data sets and exposes the blind spots of machine learning—with surprising insights.

Who is to blame when AI gets it wrong? With increasing automation, responsibilities are becoming blurred—decisions are becoming opaque, data sources unclear, and human control invisible. Professor Hyundeuk Cheon shows why a lack of transparency is dangerous and how responsibility can be rethought in an AI-driven future.

AI increasingly controls our behavior and binds us to digital services—often without us realizing the consequences. Youjin Jeon sheds light on what this development means for our autonomy and what hidden mechanisms shape modern AI systems.