Big Data and Artificial Intelligence in Policy Making: A Mini-Review Approach

Authors

  • Eko Eddya Supriyanto Faculty of Social and Political Sciences, Universitas Diponegoro, Indonesia
  • Jumadil Saputra Faculty of Business, Economics and Social Development, Universiti Malaysia Terengganu, Malaysia

DOI:

https://doi.org/10.56225/ijassh.v1i2.40

Keywords:

big data, artificial intelligence, policy, decision-making

Abstract

The digitization era in public affairs is increasingly disrupting Indonesia. Governance in Indonesia is forced to implement aspects of digitalization in its public services. Big data and artificial intelligence have been used in other scientific activities that provide colour to governance with various scientific disciplines. This study discusses the use of big data and artificial intelligence in policymaking in Indonesia by focusing on the ability of policymakers in policymaking. The method used in this paper is qualitative research with a literature study approach. We reviewed articles with related themes as many as 25 articles published in the last five years from ScienceDirect. The result of this research is that the dynamics that exist in the implementation of public services require appropriate and fast decision-making, considering that this is a community demand. Therefore, public leaders need to disrupt themselves in public services so that these services can be served quickly by enriching skills in big data and artificial intelligence. In conclusion, the critical aspect of the public policy decision-making process is similar to that of any other stage in the policymaking process. Like the preceding steps in the public policy process, the decision-making stage differs depending on the nature of the policy subsystems involved and the degree of consensus faced by decision-makers. The presence of big data in the public sector cannot be disputed as an intriguing approach, particularly during the policy formation cycle. Also, big data and artificial intelligence can help public leaders make decisions to deliver the best policies.

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Published

2022-05-31

How to Cite

Supriyanto, E. E., & Saputra, J. (2022). Big Data and Artificial Intelligence in Policy Making: A Mini-Review Approach. International Journal of Advances in Social Sciences and Humanities, 1(2), 58–65. https://doi.org/10.56225/ijassh.v1i2.40

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