一个金融AI助理的第一印象:高信任和低信任用户之间的差异
Simon Schreibelmayr1, Laura Moradbakhti1, Martina Mara1
1Robopsychology Lab, Linz Institute of Technology, Johannes Kepler University Linz, Linz, Austria.
Frontiers in artificial intelligence
|October 19, 2023
概括
了解人工智能 (AI) 的信任是关键. 用户的看法,而不是人工智能机构,塑造了信任,突出了需要量身定制的沟通策略来有效地管理人工智能期望.
科学领域:
- 人与计算机的互动.
- 人工智能伦理学 人工智能伦理学
- 认知心理学 认知心理学
背景情况:
- 校准用户对人工智能 (AI) 系统的信任对于有效的人类-AI合作至关重要.
- 用户需要清楚地了解AI的优缺点,以使主观信任与客观可信度保持一致.
- 初始感知中的个人差异会影响防止信任过度或不足校准所需的解释类型.
研究的目的:
- 调查用户最初的信任水平如何影响他们对人工智能金融助理的看法和描述.
- 检查人工智能决策机构对用户信任和使用该系统的意图的影响.
- 识别高信任和低信任群体对人工智能特征的用户感知的差异.
主要方法:
- 一项在线研究涉及127名参与者,他们观看了一段AI财务助理视频,并与各种决策机构合作.
- 358个自发文本描述人工智能助理的集合.
- 管理标准问卷测量信任,技术接受和人工智能系统的感知 (能力,可理解性,人类相似性,奇怪性).
主要成果:
- 在开放式和封闭式响应中,在高信任度和低信任度的用户群体之间观察到显著的差异.
- 高信任度的用户认为人工智能助理更有用,更有能力,更容易理解,更像人一样.
- 低信任用户专注于AI的怪异性和潜在风险;AI机构没有影响信任或使用意图.
结论:
- 用户信任校准受到先前存在的感知而不是人工智能系统机构的显著影响.
- 有效的沟通策略应该根据用户的初始信任水平来定制,以培养适当的AI信任.
- 了解用户的感知对于设计人工智能系统和通信协议至关重要,以促进校准的信任.
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