AI 中文总结
该研究围绕人类与AI的可信可理解协作，通过在线调查分析12个可解释性与可控性相关方面，发现二者受普遍重视但意见分散，受个人视角等多因素影响。
AI 中文摘要
人工智能（AI）方法可在诸多领域为用户体验实现信息个性化，但也可能与既定设计原则冲突，例如源于对真实世界的不确定性。建立信任与理解是平衡人类与AI关系的一种途径。在一项试点研究的基础上，开展了一项在线调查，以研究与可解释性和可控性主题相关的12个单独方面。结果表明，尽管可解释性与可控性主题具有不同且众多的方面，但受访者普遍认为二者重要；然而，同时经常观察到意见的广泛分散。这可能表明，除了基本共识外，个人视角、技术知识与理解、特定情境因素或个人经历也会影响对这类系统的感知。
英文摘要
Methods of Artificial Intelligence (AI) enable the personalization of information for individual user experiences in many domains; however, they can also conflict with established design principles, e.g., due to uncertainties regarding the real world. Building trust and understanding can serve as an approach to create a more balanced relationship between humans and AI. Building upon a pilot study, an online survey was conducted to investigate 12 individual aspects related to the topics of explainability and controllability. The results indicate that both topics, despite their different and numerous facets, are generally perceived as important by respondents; simultaneously, however, a wide dispersion of opinions is frequently observed. This could be an indication that, alongside a fundamental consensus, individual perspectives, technical knowledge and understanding, context-specific factors, or personal experiences play a role in the perception of such systems.
CommentsComments: 19 pages, dual-language (English and German)
