The widespread utilization of AI systems has drawn attention to the potential impacts of such systems on society. Of particular concern are the consequences that prediction errors may have on real-world scenarios, and the trust humanity places in AI systems. It is necessary to understand how we can evaluate trustworthiness in AI and how individuals and entities alike can develop trustworthy AI systems. In this paper, we analyze each element of trustworthiness and provide a set of 20 guidelines that can be leveraged to ensure optimal AI functionality while taking into account the greater ethical, technical, and practical impacts to humanity. Moreover, the guidelines help ensure that trustworthiness is provable and can be demonstrated, they are implementation agnostic, and they can be applied to any AI system in any sector.
翻译:广泛使用AI系统已引起人们注意这类系统对社会的潜在影响,尤其令人关注的是预测错误可能对现实世界情景以及AI系统对人类的信任程度产生的后果。有必要了解我们如何能够评估AI的可信度,以及个人和实体如何能够发展可靠的AI系统。在本文件中,我们分析了每个可信赖性要素,提供了一套20项准则,可以加以利用,以确保在考虑对人类更大的道德、技术和实际影响的同时,使AI发挥最佳功能。此外,这些准则有助于确保信任性是可证实的,并且可以证明。这些准则是不可否认的,可以适用于任何部门的任何AI系统。