对数字化和人工智能的信任：德国医疗专业人员定性研究的结果

Trust in Digitalization and AI: Findings from a Qualitative Study on Healthcare Professionals in Germany.

作者信息

Babitsch Birgit, Hannemann Niels, Kutza Jan-Oliver, Hübner Ursula

机构信息

Department of New Public Health, Osnabrück University, Germany.

Health Informatics Research Group, Osnabrück University of Applied Sciences, Germany.

出版信息

Stud Health Technol Inform. 2023 Oct 20;309:317-318. doi: 10.3233/SHTI230810.

DOI:10.3233/SHTI230810

PMID:37869871

Abstract

The acceptance and use of digital technologies depend on the trustworthiness attributed to them. Experts were interviewed about how they assign trust to digital technologies or AI (N=12). The data were analyzed applying the focused qualitative content analysis. All of the experts have experience with digital technologies, but only seven with AI. The majority of experts generally trust digital technologies, but only five experts expressed a general trust in AI. Similar reasons contributing to trust building were given for digital technologies and AI. The results show the complexity of the trust building process and the construct of trust itself. The development of explainable AI and professional training are prerequisites to support a critical and safe use of these technologies.

摘要

数字技术的接受和使用取决于人们赋予它们的可信度。我们采访了专家，了解他们如何赋予数字技术或人工智能可信度（N = 12）。运用聚焦式定性内容分析法对数据进行了分析。所有专家都有数字技术方面的经验，但只有7人有人工智能方面的经验。大多数专家总体上信任数字技术，但只有5位专家表示对人工智能有普遍信任。数字技术和人工智能建立信任的原因相似。结果显示了信任建立过程和信任本身结构的复杂性。可解释人工智能的发展和专业培训是支持对这些技术进行批判性和安全使用的先决条件。