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arXiv 2207.01482cs.CYcs.HCcs.LG
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首先考虑利益相关者!为监管合规制定财务透明度行动手册

Think About the Stakeholders First! Towards an Algorithmic Transparency Playbook for Regulatory Compliance

New York University(纽约大学)

Andrew Bell, Oded Nov, Julia Stoyanovich

摘要:

世界各国政府越来越多地提出和通过法律,以规范公共和私营部门实施的人工智能(AI)系统。其中许多法规都涉及人工智能系统的透明度,以及相关的公民意识问题,例如允许个人有权解释人工智能系统如何做出影响他们的决定。然而,到目前为止,几乎所有的人工智能治理文件都有一个显著的缺点:它们都专注于在使人工智能系统透明方面应该做什么(或不应该做什么),但却把工作的主要任务留给了技术人员来弄清楚如何构建透明的系统。我们填补了这一空白,提出了一种新的技术人员优先的方法,协助技术人员设计透明的,符合法规的系统。我们还描述了一个现实世界的案例研究,说明了这种方法可以在实践中使用。

英文摘要:

Increasingly, laws are being proposed and passed by governments around the world to regulate Artificial Intelligence (AI) systems implemented into the public and private sectors. Many of these regulations address the transparency of AI systems, and related citizen-aware issues like allowing individuals to have the right to an explanation about how an AI system makes a decision that impacts them. Yet, almost all AI governance documents to date have a significant drawback: they have focused on what to do (or what not to do) with respect to making AI systems transparent, but have left the brunt of the work to technologists to figure out how to build transparent systems. We fill this gap by proposing a novel stakeholder-first approach that assists technologists in designing transparent, regulatory compliant systems. We also describe a real-world case-study that illustrates how this approach can be used in practice.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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