Lahusen Christian, Maggetti Martino, Slavkovik Marija
Department of Social Sciences, Universität Siegen, 57068, Siegen, Germany.
Université de Lausanne, Institute of Political Studies, CH-1015, Lausanne, Switzerland.
Sci Rep. 2024 Sep 5;14(1):20752. doi: 10.1038/s41598-024-71761-0.
An emerging issue in AI alignment is the use of artificial intelligence (AI) by public authorities, and specifically the integration of algorithmic decision-making (ADM) into core state functions. In this context, the alignment of AI with the values related to the notions of trust and trustworthiness constitutes a particularly sensitive problem from a theoretical, empirical, and normative perspective. In this paper, we offer an interdisciplinary overview of the scholarship on trust in sociology, political science, and computer science anchored in artificial intelligence. On this basis, we argue that only a coherent and comprehensive interdisciplinary approach making sense of the different properties attributed to trust and trustworthiness can convey a proper understanding of complex watchful trust dynamics in a socio-technical context. Ensuring the trustworthiness of AI-Governance ultimately requires an understanding of how to combine trust-related values while addressing machines, humans and institutions at the same time. We offer a road-map of the steps that could be taken to address the challenges identified.
人工智能对齐领域中一个新出现的问题是公共当局对人工智能（AI）的使用，特别是将算法决策（ADM）整合到核心国家职能中。在这种背景下，从理论、实证和规范的角度来看，人工智能与信任和可信赖性相关价值观的对齐构成了一个特别敏感的问题。在本文中，我们对社会学、政治学和以人工智能为基础的计算机科学领域中关于信任的学术研究进行了跨学科概述。在此基础上，我们认为，只有一种连贯且全面的跨学科方法，能够理解赋予信任和可信赖性的不同属性，才能在社会技术背景下正确理解复杂的警惕性信任动态。确保人工智能治理的可信赖性最终需要理解如何在同时处理机器、人类和机构的情况下，将与信任相关的价值观结合起来。我们提供了一个路线图，说明可以采取哪些步骤来应对所识别出的挑战。
