arXiv:2412.06040cs.AIcs.CY2024-12被引 13

一个AI作恶,所有人形智能都遭连累,人类却不会被这样对待。

The AI Double Standard: Humans Judge All AIs for the Actions of One

  • 通过实验发现AI或人类的不当行为会波及同类群体的道德评价
  • 无论对AI还是人类,负面行为都会降低其道德责任与同情心评价
  • AI因被视为同质群体而更易受连坐影响,存在双重标准

机器人及其他人工智能(AI)系统常被视为需为其行为负责的道德主体。随着AI普及,个别AI的不当行为可能引发对其他AI的道德态度蔓延。我们通过两项预注册实验检验了人类与AI代理的道德溢出效应。研究1(N = 720)表明,在人机交互中,不当行为显著提升对自身及所属群体(所有聊天机器人或人类助手)的负面道德归因,降低正面道德归因与道德应得性感知,且在AI与人类情境中溢出效应无显著差异。研究2(N = 684)进一步发现,当代理被赋予姓名并明确标识为AI或人类时,这种溢出仅在AI情境中持续,而在人类情境中消失,可能因AI被视为更具同质性的外群。该不对称性揭示了一种双重标准:当一个智能体越界时,对AI的集体惩罚比对人类更严重。随着多样化自主AI系统的兴起,人机交互研究与设计必须考虑单一体验对整体信任的广泛影响。

原文摘要 · Abstract (English)

Robots and other artificial intelligence (AI) systems are widely perceived as moral agents responsible for their actions. As AI proliferates, these perceptions may become entangled via the moral spillover of attitudes towards one AI to attitudes towards other AIs. We tested how the seemingly harmful and immoral actions of an AI or human agent spill over to attitudes towards other AIs or humans in two preregistered experiments. In Study 1 (N = 720), we established the moral spillover effect in human-AI interaction by showing that immoral actions increased attributions of negative moral agency (i.e., acting immorally) and decreased attributions of positive moral agency (i.e., acting morally) and moral patiency (i.e., deserving moral concern) to both the agent (a chatbot or human assistant) and the group to which they belong (all chatbot or human assistants). There was no significant difference in the spillover effects between the AI and human contexts. In Study 2 (N = 684), we tested whether spillover persisted when the agent was individuated with a name and described as an AI or human, rather than specifically as a chatbot or personal assistant. We found that spillover persisted in the AI context but not in the human context, possibly because AIs were perceived as more homogeneous due to their outgroup status relative to humans. This asymmetry suggests a double standard whereby AIs are judged more harshly than humans when one agent morally transgresses. With the proliferation of diverse, autonomous AI systems, HCI research and design should account for the fact that experiences with one AI could easily generalize to perceptions of all AIs and negative HCI outcomes, such as reduced trust.

AI伦理认知偏差人机交互

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