Trust within human-machine collectives depends on the perceived consensus about cooperative norms.

ABSTRACT: With the progress of artificial intelligence and the emergence of global online communities, humans and machines are increasingly participating in mixed collectives in which they can help or hinder each other. Human societies have had thousands of years to consolidate the social norms that promote cooperation; but mixed collectives often struggle to articulate the norms which hold when humans coexist with machines. In five studies involving 7917 individuals, we document the way people treat machines differently than humans in a stylized society of beneficiaries, helpers, punishers, and trustors. We show that a different amount of trust is gained by helpers and punishers when they follow norms over not doing so. We also demonstrate that the trust-gain of norm-followers is associated with tr

SUBMITTER: Makovi K 

PROVIDER: S-EPMC10229533 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature