公司治理
民主
集合(抽象数据类型)
人工智能
功率(物理)
社会学
政治学
经济
计算机科学
管理
法学
政治
量子力学
物理
程序设计语言
作者
Deepika Chhillar,Ruth V. Aguilera
标识
DOI:10.1177/00076503221080959
摘要
In this 60th anniversary of Business & Society essay, we seek to make three main contributions at the intersection of governance and artificial intelligence (AI). First, we aim to illuminate some of the deeper social, legal, organizational, and democratic challenges of rising AI adoption and resulting algorithmic power by reviewing AI research through a governance lens. Second, we propose an AI governance framework that aims to better assess AI challenges as well as how different governance modalities (architecture, laws, norms, and market) can support AI. At the heart of our framework lies the governance forces that apply to institutions, organizations, and individuals, who ultimately provide, regulate, and use AI decision-making. We discuss how businesses may harness AI’s economic power through governance solutions without creating or amplifying societal biases and inequalities. Third, as part of our section on future research, we identify a set of governance trade-offs in AI adoption, suggest future research avenues to conceptually strengthen research on the governance of AI, and lay out key policy recommendations.
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