Companies, organizations, and governments across the world are eager to employ so-called 'AI' (artificial intelligence) technology in a broad range of different products and systems. The promise of this cause c\'el\`ebre is that the technologies offer increased automation, efficiency, and productivity - meanwhile, critics sound warnings of illusions of objectivity, pollution of our information ecosystems, and reproduction of biases and discriminatory outcomes. This paper explores patterns of motivation in the general population for trusting (or distrusting) 'AI' systems. Based on a survey with more than 450 respondents from more than 30 different countries (and about 3000 open text answers), this paper presents a qualitative analysis of current opinions and thoughts about 'AI' technology, focusing on reasons for trusting such systems. The different reasons are synthesized into four rationales (lines of reasoning): the Human favoritism rationale, the Black box rationale, the OPSEC rationale, and the 'Wicked world, tame computers' rationale. These rationales provide insights into human motivation for trusting 'AI' which could be relevant for developers and designers of such systems, as well as for scholars developing measures of trust in technological systems.

翻译：世界各地的公司、组织和政府都急于在广泛的不同产品和系统中采用所谓的“人工智能”技术。这一热门事业所承诺的是，这些技术能带来更高的自动化水平、效率和生产力——与此同时，批评者发出警告，称其存在客观性幻觉、污染信息生态系统以及复制偏见和歧视性结果的问题。本文探讨了普通大众信任（或不信任）“人工智能”系统的动机模式。基于一项涵盖来自30多个国家的450多名受访者（约3000个开放式文本回答）的调查，本文对当前关于“人工智能”技术的观点和想法进行了定性分析，重点关注信任此类系统的原因。这些不同的原因被综合为四种理据（推理思路）：人类偏袒理据、黑箱理据、运营安全理据以及“邪恶世界，温顺计算机”理据。这些理据揭示了人类信任“人工智能”的动机，这可能对开发者和设计者构建此类系统，以及研究技术系统信任度的学者具有参考价值。