UC Berkeley Researcher Proposes Safer AI Through Programmed Uncertainty About Human Goals

Stuart Russell, a leading UC Berkeley computer scientist, argues that safer artificial intelligence systems begin by embracing what they do not know: their true human objective. In a departure from traditional AI development, Russell proposes that the safest path forward is not to program rigid, absolute goals into machine learning systems, but rather to construct AI with explicit uncertainty about what humans actually want.