Artificially intelligent collective decision-making: A systematic review

This Bachelor Thesis aims to study the relationship between Artificial Intelligence and collective decision-making models in order to understand how Artificial Intelligence could contribute to non-cooperative and cooperative social choice theories. The relationship between AI and two cooperative decision-making theories namely, Nash bargaining solution and vote trading is examined as well as AI’s relatedness to three non-cooperative group decision-making theories, namely, Condorcet’s paradox, Arrow’s impossibility theorem and Black’s Median Voter theorem, is studied. As the literature relating these concepts is scarce, a systematic literature review following PRISMA guidelines is performed to aim to fill in the existing gaps. The initial dataset incorporated 1,619 documents, which eventually led to a final corpus of 51 relevant articles after applying the exclusion criteria. Results show that AI can be applied two one of the selected cooperative decision-making models, Nash bargaining solution, and the non-cooperative decision-making model Condorcet’s paradox. However, there are no studies indicating how Artificial Intelligence algorithms could facilitate the other examined social choice theories.