Formulating Analytical Governance Frameworks: An Integration of Data and AI Governance Approaches
Issued Date
2023-12-06
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Scopus ID
2-s2.0-85180763362
Journal Title
ACM International Conference Proceeding Series
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SCOPUS
Bibliographic Citation
ACM International Conference Proceeding Series (2023)
Suggested Citation
Kanying T., Thammaboosadee S., Chuckpaiwong R. Formulating Analytical Governance Frameworks: An Integration of Data and AI Governance Approaches. ACM International Conference Proceeding Series (2023). doi:10.1145/3628454.3628461 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/95997
Title
Formulating Analytical Governance Frameworks: An Integration of Data and AI Governance Approaches
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Abstract
This study underscores the importance of standard data analytics governance within organizations to leverage the potential of increasing volumes of big data. Even though Thailand has operative frameworks for data governance and AI governance, there lacks a concrete framework specifically for analytics governance. To fill this void, the research utilizes the Data Governance Framework from the Digital Government Development Agency (DGA), the Artificial Intelligence Governance for e-Business and Digital Services from the Electronic Transactions Development Agency (ETDA), and the Data Management Capability Assessment Model (DCAM) within the Analytics Management section. The design and evaluation of the analytics governance framework are carried out using feedback from experts via a questionnaire. The ultimate objective of this study is to pinpoint the relevant components necessary for formulating an analytics governance framework in organizations in Thailand, which have already implemented data governance.