面向管理控制的人工智能治理框架

Richard Sentinella, M. Schnegg, K. Möller
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引用次数: 0

摘要

在人工智能(AI)日益普及和强大的时代,公平、透明和人类福祉等伦理问题已经引起了监管机构、标准制定机构和组织的注意。为了构建符合新规则的基于人工智能的系统,组织将不得不采用治理系统。本研究在现有框架和多个案例研究的基础上,开发了一个专门针对这些挑战设计的治理框架:圣加仑人工智能治理框架侧重于识别利益相关者关注的问题和战略目标,建立管理控制系统,分配角色和责任,并将动力纳入治理系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Management Control oriented Governance Framework for Artificial Intelligence
In an age of increasing access to and power of artificial intelligence (AI), ethical concerns, such as fairness, transparency, and human well-being have come to the attention of regulators, standard setting bodies, and organizations alike. In order to build AI-based systems that comply with new rules, organizations will have to adopt systems of governance. This study develops, based on existing frameworks and a multiple case study, a governance framework specifically designed with these challenges in mind: The St. Gallen Governance Framework for Artificial Intelligence focuses on identifying stakeholder concerns and strategic goals, building a management control system, assigning roles and responsibilities, and incorporating dynamism into the system of governance.
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