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An Eye for Artificial Intelligence: Insights Into the Governance of Artificial Intelligence and Vision for Future Research
Business & Society ( IF 6.740 ) Pub Date : 2022-04-29 , DOI: 10.1177/00076503221080959
Deepika Chhillar 1 , Ruth V. Aguilera 2
Affiliation  

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.



中文翻译:

人工智能之眼:对人工智能治理的洞察和未来研究的愿景

在这 60 周年的商业与社会在文章中,我们力求在治理和人工智能 (AI) 的交叉领域做出三个主要贡献。首先,我们的目标是通过从治理的角度回顾人工智能研究,阐明人工智能采用率上升以及由此产生的算法能力带来的一些更深层次的社会、法律、组织和民主挑战。其次,我们提出了一个人工智能治理框架,旨在更好地评估人工智能挑战以及不同治理模式(架构、法律、规范和市场)如何支持人工智能。我们框架的核心是适用于机构、组织和个人的治理力量,他们最终提供、监管和使用人工智能决策。我们讨论了企业如何通过治理解决方案利用人工智能的经济力量,而不会造成或扩大社会偏见和不平等。第三,

更新日期:2022-04-29
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