Data governance: Organizing data for trustworthy Artificial Intelligence
Janssen, Marijn, Brous, Paul, Estevez, Elsa, Soares Barbosa, Luís and Janowski, Tomasz, (2020). Data governance: Organizing data for trustworthy Artificial Intelligence. Government Information Quarterly, 37(3), n/a-n/a
Document type:
Article
Collection:
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Sub-type Journal article Author Janssen, Marijn
Brous, Paul
Estevez, Elsa
Soares Barbosa, Luís
Janowski, TomaszTitle Data governance: Organizing data for trustworthy Artificial Intelligence Appearing in Government Information Quarterly Check publisher's open access policy Volume 37 Issue No. 3 Publication Date 2020-06 Place of Publication Amsterdam Publisher Elsevier Start page n/a End page n/a Language eng Abstract The rise of Big, Open and Linked Data (BOLD) enables Big Data Algorithmic Systems (BDAS) which are often based on machine learning, neural networks and other forms of Artificial Intelligence (AI). As such systems are increasingly requested to make decisions that are consequential to individuals, communities and society at large, their failures cannot be tolerated, and they are subject to stringent regulatory and ethical requirements. However, they all rely on data which is not only big, open and linked but varied, dynamic and streamed at high speeds in real-time. Managing such data is challenging. To overcome such challenges and utilize opportunities for BDAS, organizations are increasingly developing advanced data governance capabilities. This paper reviews challenges and approaches to data governance for such systems, and proposes a framework for data governance for trustworthy BDAS. The framework promotes the stewardship of data, processes and algorithms, the controlled opening of data and algorithms to enable external scrutiny, trusted information sharing within and between organizations, risk-based governance, system-level controls, and data control through shared ownership and self-sovereign identities. The framework is based on 13 design principles and is proposed incrementally, for a single organization and multiple networked organizations. UNBIS Thesaurus ARTIFICIAL INTELLIGENCE Keyword big data
data governance
AI
algorithmic governance
information sharing
trusted frameworks
research line governance
research line technologyCopyright Holder Elsevier Copyright Year 2020 Copyright type All rights reserved ISSN 0740-624X DOI 10.1016/j.giq.2020.101493 -
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