Network Diversity Promotes Safety Adoption in Swift Artificial Intelligence Development

Abstract

Regulating the development of advanced technology such as Artificial Intelligence (AI) has become a principal topic, given the potential threat they pose to humanity’s long term future. First deploying such technology promises innumerable benefits, which might lead to the disregard of safety precautions or societal consequences in favour of speedy development, engendering a race narrative among firms and stakeholders due to value erosion. Building upon a previously proposed game-theoretical model describing an idealised technology race, we investigated how various structures of interaction among race participants can alter collective choices and requirements for regulatory actions. Our findings indicate that strong diversity among race participants, both in terms of connections and peer-influence, can reduce the conflicts which arise in purely homogeneous settings, thereby lessening the need for regulation.