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Recent research highlights a significant public reluctance to trust artificial moral advisors (AMAs) in ethical decision-making. Despite their potential to provide objective and bias-free guidance, people exhibit skepticism, particularly towards utilitarian advice. This paradox is explored in a study involving over 2,600 participants, revealing deep psychological barriers to acceptance.
The study indicates that while individuals expect AI to make utilitarian decisions, they simultaneously distrust those who do. This distrust is particularly pronounced when AI endorses actions that justify harm for greater good, leading to a preference for human advisors. The findings suggest that for AMAs to be integrated into society, designers must address these trust issues and balance moral consistency with human expectations.
• Public skepticism towards AI moral advisors despite their potential for objective guidance.
• Trust issues arise particularly with utilitarian moral advice from AI systems.
AMAs are AI systems designed to assist humans in making ethical decisions, offering objective guidance.
Utilitarianism is an ethical theory that promotes actions that maximize overall good, often leading to moral dilemmas.
Algorithm aversion refers to the tendency of individuals to distrust machine-generated advice, especially in moral contexts.
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