The Responsibility Gap in Explainable AI
This paper critically examines the persistent responsibility gap in explainable artificial intelligence (XAI), arguing that current approaches fail to adequately bridge it. While XAI is often promoted as a remedy for the opacity of AI systems—the so-called “black box problem”—and as a way to enable human accountability...