An Eye for Artificial Intelligence: Insights Into the Governance of Artificial Intelligence and Vision for Future Research
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 res...
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Published in | Business & society Vol. 61; no. 5; pp. 1197 - 1241 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Los Angeles, CA
SAGE Publications
01.05.2022
SAGE PUBLICATIONS, INC |
Subjects | |
Online Access | Get full text |
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Abstract | 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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AbstractList | 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. |
Author | Chhillar, Deepika Aguilera, Ruth V. |
Author_xml | – sequence: 1 givenname: Deepika surname: Chhillar fullname: Chhillar, Deepika – sequence: 2 givenname: Ruth V. orcidid: 0000-0002-1144-1499 surname: Aguilera fullname: Aguilera, Ruth V. |
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SubjectTerms | Artificial intelligence Decision making Governance Inequality Organizational power |
Title | An Eye for Artificial Intelligence: Insights Into the Governance of Artificial Intelligence and Vision for Future Research |
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