Who Should Be Held Responsible When AI Makes Mistakes? Study Reveals the Importance of Shared Responsibility

As AI becomes increasingly integrated into daily life, assigning responsibility for its errors has become a challenge. Dr. Hyon-Lae Roh from Pusan National University proposed a distributed responsibility model, emphasizing that AI systems are complex and opaque, and lack consciousness, making it difficult to directly blame the system itself. Responsibility should be shared among developers, users, and other parties, and clear delineation of roles and responsibilities is needed to address potential risks.