Relational Norms for Human-AI Interaction: Some Preliminary Empirical Findings

Reinecke MG., Kappes A., Singh I., Savulescu J., Earp BD.

Artificial intelligence (AI) systems are increasingly filling social roles traditionally filled by humans, raising questions about whether people apply the same relational norms to human-AI interactions as they do to human-human ones. To investigate this, we surveyed a gender-representative sample of U.S. adults (N = 432) on their expectations regarding four categories of relational norms—care, hierarchy, transaction, and mating—across seven types of relationships (i.e., fellow workers, supervisor-assistant, teacher-student, mental health provider-patient, customer-seller, long-term romantic partners, close friends). Depending on condition, we described these relationships as consisting of either of two humans or one human and a superintelligent AI. Participants then rated the extent to which each party in the relationship should—or should not—behave in a manner consistent with care, hierarchy, transaction, and mating.

Type

Conference paper

Publication Date

2025-01-01T00:00:00+00:00

Pages

12 - 14

Total pages

2

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