Responsibility Gap and Diffusion in Sequential Decision-Making Mechanisms

Jiang, Junli, Naumov, Pavel

arXiv.org Artificial Intelligence 

Responsibility has long been a subject of study in law and philosophy. More recently, it became a focus of AI literature. The article investigates the computational complexity of two important properties of responsibility in collective decision-making: diffusion and gap. It shows that the sets of diffusion-free and gap-free decision-making mechanisms are $Π_2$-complete and $Π_3$-complete, respectively. At the same time, the intersection of these classes is $Π_2$-complete.