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The importance of the assurance that 'humans are still in the decision loop' for public trust in artificial intelligence: Evidence from an online experiment

机译:保证“人类仍在决定循环”中的人工智能信任的重要性:来自在线实验的证据

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This study investigates the public's initial trust in an artificial intelligence (AI) decision aid utilized in the delivery of public services. Amidst societal anxiety surrounding AI, the study posited that the information communicated to the public about the use of AI matters to the public's initial trust in AI. More specifically, the study hypothesized that an assurance that "humans are still in the decision loop" (HDL) makes a difference in the public's initial trust (H1), which might also depend on the stated purposes for using AI (H2). This article reports on the results from an online experiment testing these hypotheses in the context of Japan's long-term nursing care sector, based on the responses of care users and their families (N = 1542). The study did not find strong evidence to support H2. However, it found some support for H1: the proportion of those who trusted a care plan prepared with AI assistance more than a care plan not involving AI was higher by 8.95 percentage points with the HDL assurance than without. This highlights the importance of the HDL assurance and reveals respondents' reservations about a complete AI takeover in care planning.
机译:本研究调查了公众对在交付公共服务中使用的人工智能(AI)决策援助中的最初信任。在社会焦虑周围艾,该研究会议,传达给公众对公众对AI最初信任的影响的信息。更具体地,研究假设“人类仍然处于决定环”(HDL)的保证作证在公共初始信任(H1)中具有差异,这也可能取决于使用AI(H2)的规定的目的。本文报告了在线实验中的结果测试了在日本长期护理部门的背景下的这些假设,基于护理用户及其家庭的答复(n = 1542)。该研究没有找到支持H2的有力证据。然而,它发现了对H1的一些支持:信任使用AI援助的护理计划的人的比例超过了不涉及AI的护理计划更高8.95个百分点,而HDL保证率高于没有。这突出了HDL保证的重要性,并揭示了受访者关于在护理计划中完整的AI收购的保留。

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