Robots, Chatbots, Self-Driving Cars: Perceptions of Mind and Morality Across Artificial Intelligences
Ali Ladak, Matti Wilks, Steve Loughnan, Jacy Reese Anthis
TL;DR
This preregistered online study assesses perceived mind (agency and experience) and morality (moral agency and moral patiency) across 14 AIs and 12 non-AIs with 975 US participants. It finds AIs generally show low-to-moderate agency and very low experience, while moral attributions—particularly moral agency—are higher and vary substantially across AIs (e.g., Tesla FSD highest in moral agency; Jennie high in patiency). Differences exist both within AIs and between AI and non-AI entities, with mind and morality related yet not identical; familiarity with AI also modulates moral patiency. The authors discuss design implications to manage perceptions and responsibility, cautioning against excessive anthropomorphism in high-stakes contexts and emphasizing alignment between perceived and actual capacities to support trust and accountability.
Abstract
AI systems have rapidly advanced, diversified, and proliferated, but our knowledge of people's perceptions of mind and morality in them is limited, despite its importance for outcomes such as whether people trust AIs and how they assign responsibility for AI-caused harms. In a preregistered online study, 975 participants rated 26 AI and non-AI entities. Overall, AIs were perceived to have low-to-moderate agency (e.g., planning, acting), between inanimate objects and ants, and low experience (e.g., sensing, feeling). For example, ChatGPT was rated only as capable of feeling pleasure and pain as a rock. The analogous moral faculties, moral agency (doing right or wrong) and moral patiency (being treated rightly or wrongly) were higher and more varied, particularly moral agency: The highest-rated AI, a Tesla Full Self-Driving car, was rated as morally responsible for harm as a chimpanzee. We discuss how design choices can help manage perceptions, particularly in high-stakes moral contexts.
