论文标题
首先考虑利益相关者！迈向监管合规算法透明度剧本
Think About the Stakeholders First! Towards an Algorithmic Transparency Playbook for Regulatory Compliance
论文作者
论文摘要
越来越多的政府越来越多地提出和通过了法规，以规范公共和私营部门实施的人工智能（AI）系统。这些法规中的许多法规涉及AI系统的透明度以及相关的公民感知问题，例如允许个人有权解释AI系统如何做出影响它们的决定。但是，迄今为止，几乎所有的AI治理文件都有一个很大的缺点：他们专注于在使AI系统透明的情况下（或不做什么），但已将作品的首当其冲留给了技术人员，以找出如何构建透明系统。我们通过提出一种新的利益相关者优先的方法来填补这一空白，该方法可以帮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中的案例研究，该研究说明了如何在实践中使用这种方法。
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.
