Collective Intelligence Project（CIP）于5月21日至6月1日针对1,000名多元成人进行的一项新调查显示，全球56%的受访者信任AI聊天机器人会为其最佳利益行事——超越了对民选代表和企业的信任。约50%的受访者偏好以AI辅助决策支持来处理涉及地方服务（如税务、许可证或执照）的社区选择。纽约大学心智、伦理与政策中心主任Jeff Sebo将此趋势归因于聊天机器人的持续可用性、对个别使用者的专注关注以及其被感知的中立性，而政治人物则常显得疏远、缺乏回应且自私自利。

根据Pew Research Center的研究，美国民众对政府的信任数十年来持续偏低，仅有17%的美国人信任政府「会做正确的事」，相较之下，OECD国家约有40%的受访者表示高度信任政府。CIP的研究显示，公众对AI的信任是经过校准的——在咨询和资讯功能方面信任度较高，但在涉及自主决策时则较低。仅有3.7%的受访者愿意让AI代替其做出实际决定。当被问及谁会更公平地权衡其利益时，近40%选择了AI，而约31%选择了目前的决策者。纽约大学Courant研究所的Hasan Aljabbouli指出，政府信任度下降、AI的持续可用性及其被感知的公正性是关键驱动因素。

该研究还发现，超过80%的受访者在日常生活中注意到AI的存在，约60%的人每天个人使用AI系统。然而，专家警告AI可能放大错误资讯，且私密、个人化的聊天机器人对话中的偏见可能比社群媒体演算法中的偏见更难被侦测，尤其是在选举前夕。哥伦比亚大学机械工程教授Hod Lipson指出，选举决策很复杂，因为选民通常已有既定立场。Aljabbouli强调AI供应商在确保准确性、平衡性、透明度和问责制方面负有日益增加的责任。Lipson预测这些信任数字将持续增长。

A new survey by the Collective Intelligence Project (CIP), conducted May 21–June 1 with 1,000 diverse adults, reveals that 56% of global respondents trust AI chatbots to act in their best interest—surpassing trust in elected representatives and corporations. Approximately 50% prefer AI-assisted decision support for community choices involving local services such as taxes, permits, or licenses. Jeff Sebo, director of the Center for Mind, Ethics, and Policy at New York University, attributed this trend to chatbots' constant availability, focused attention on individual users, and perceived neutrality, while politicians often appear distant, unresponsive, and self-interested.

Trust in government has remained low for decades in the US, with only 17% of Americans trusting the government "to do what is right," per the Pew Research Center, compared to approximately 40% across OECD nations. The CIP study shows public trust in AI is calibrated—high for advisory and informational functions but lower where autonomy is involved. Only 3.7% of respondents would let AI make actual decisions on their behalf. When asked who would weigh their interests more fairly, almost 40% chose AI versus about 31% who chose current decision-makers. Hasan Aljabbouli of NYU's Courant Institute cited declining governmental trust, AI's continuous availability, and perceived impartiality as key drivers.

The study also found over 80% of respondents notice AI in daily life, with approximately 60% using an AI system daily. However, experts caution that AI could amplify misinformation, and bias in private, personalized chatbot conversations may be harder to detect than in social media algorithms, particularly before elections. Hod Lipson, professor of mechanical engineering at Columbia University, noted that election decisions are complicated because voters typically have their minds already made up. Aljabbouli stressed the increasing responsibility on AI providers to ensure accuracy, balance, transparency, and accountability. Lipson predicted these trust numbers will continue to grow.