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人工智能(AI)已渗透到日常生活,重塑了商业、经济和社会的格局,通过改变利益相关者与公民之间的互动和联系。然而,AI的广泛应用带来了重大风险和挑战,引发了人们对AI系统可信度的担忧。近年来,许多政府机构出台了旨在促进可信赖AI系统的法规和原则,企业、科研机构及公共部门也发布了各自的伦理和可信赖AI原则与指导方针。此外,他们还开发了评估和提升可信赖性属性的方法与软件工具包。本文旨在探讨这种演变,通过分析和支持AI系统的可信赖性展开研究。我们首先审视可信赖AI所固有的特性及其相关原则和标准,继而分析设计者和开发者为实现可信AI系统所可用的方法与工具,最后概述用于实现端到端可信赖AI设计的研究挑战。
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Gregoris Mentzas
Mattheos Fikardos
Katerina Lepenioti
Intelligent Decision Technologies
National Technical University of Athens
University of Piraeus
Institute of Communication and Computer Systems
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Mentzas 等人(Fri,)研究了这个问题。
www.synapsesocial.com/papers/68e65aacb6db6435875e8ef4 — DOI: https://doi.org/10.3233/idt-240366
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