Artificial Intelligence Governance For Businesses

被引：48
作者：
Schneider, Johannes [1 ]
Abraham, Rene [1 ]
Meske, Christian [2 ,3 ]
Vom Brocke, Jan [1 ]
机构：
[1] Univ Liechtenstein, Inst Informat Syst, Vaduz, Liechtenstein
[2] Ruhr Univ Bochum, Sociotech Syst Design & Artificial Intelligence, Inst Work Sci, Bochum, Germany
[3] Ruhr Univ Bochum, Fac Mech Engn, Bochum, Germany
来源：
INFORMATION SYSTEMS MANAGEMENT | 2023年 / 40卷 / 03期
关键词：
Artificial intelligence; machine learning; IT governance; model governance; data governance; governance framework; AI; MODEL; TECHNOLOGY; FUTURE;
D O I：
10.1080/10580530.2022.2085825
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
While artificial intelligence (AI) governance is thoroughly discussed on a philosophical, societal, and regulatory level, few works target companies. We address this gap by deriving a conceptual framework from literature. We decompose AI governance into governance of data, machine learning models, and AI systems along the dimensions of who, what, and how "is governed." This decomposition enables the evolution of existing governance structures. Novel, business-specific aspects include measuring data value and novel AI governance roles.
引用
收藏
页码：229 / 249
页数：21
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