Data Science, AI, And the Third Wave of Governance in the Digital Age

Authors

  • Sukesh Reddy Kotha

Keywords:

Digital Age, AI, Governance, Data Science

Abstract

This paper reviews the overlap between the domains of data science and artificial intelligence (AI) and third wave governance in the digital era. The results show that AI-enabled administration improves administration efficiency and predictive capability and brings new challenges to oversight, legitimacy, and equity. Quantitative data suggest an efficiency improvement of 35 percent or greater and the inadequacies of human monitoring. This paper highlights the role of frameworks and ethical responsibility as an institution in developing democratic digital governance.

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References

Basukie, J., Wang, Y., & Li, S. (2020). Big data governance and algorithmic management in sharing economy platforms: A case of ridesharing in emerging markets. Technological Forecasting and Social Change, 161, 120310. https://doi.org/10.1016/j.techfore.2020.120310

Birkstedt, T., Minkkinen, M., Tandon, A., & Mäntymäki, M. (2023). AI governance: themes, knowledge gaps and future agendas. Internet Research, 33(7), 133–167. https://doi.org/10.1108/intr-01-2022-0042

Bloch-Wehba, H. (2022). Algorithmic Governance from the Bottom Up. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4054640

Danaher, J., Hogan, M. J., Noone, C., Kennedy, R., Behan, A., De Paor, A., Felzmann, H., Haklay, M., Khoo, S., Morison, J., Murphy, M. H., O’Brolchain, N., Schafer, B., & Shankar, K. (2017). Algorithmic governance: Developing a research agenda through the power of collective intelligence. Big Data & Society, 4(2), 205395171772655. https://doi.org/10.1177/2053951717726554

Dunleavy, P., & Margetts, H. (2023). Data science, artificial intelligence and the third wave of digital era governance. Public Policy and Administration. https://doi.org/10.1177/09520767231198737

Green, B. (2022). The flaws of policies requiring human oversight of government algorithms. Computer Law & Security Review, 45, 105681. https://doi.org/10.1016/j.clsr.2022.105681

Gritsenko, D., & Wood, M. (2020). Algorithmic governance: A modes of governance approach. Regulation & Governance, 16(1), 45–62. https://doi.org/10.1111/rego.12367

Gritsenko, D., Markham, A., Pötzsch, H., & Wijermars, M. (2022). Algorithms, contexts, governance: An introduction to the special issue. New Media & Society, 24(4), 835–844. https://doi.org/10.1177/14614448221079037

Hanisch, M., Goldsby, C. M., Fabian, N. E., & Oehmichen, J. (2023). Digital governance: A conceptual framework and research agenda. Journal of Business Research, 162, 113777. https://doi.org/10.1016/j.jbusres.2023.113777

James, A., Hynes, D., Whelan, A., Dreher, T., & Humphry, J. (2023). From access and transparency to refusal: Three responses to algorithmic governance. Internet Policy Review, 12(2). https://doi.org/10.14763/2023.2.1691

Latzer, M., & Festic, N. (2019). A guideline for understanding and measuring algorithmic governance in everyday life. Internet Policy Review, 8(2). https://doi.org/10.14763/2019.2.1415

Margetts, H. (2022). Rethinking AI for good governance. Daedalus, 151(2), 360–371. https://doi.org/10.1162/daed_a_01922

Srivastava, S. (2021). Algorithmic governance and the international politics of big tech. Perspectives on Politics, 21(3), 989–1000. https://doi.org/10.1017/s1537592721003145

Taeihagh, A. (2021). Governance of artificial intelligence. Policy and Society, 40(2), 137–157. https://doi.org/10.1080/14494035.2021.1928377

Wang, X., Oussalah, M., Niemilä, M., Ristikari, T., & Virtanen, P. (2023). Towards AI-governance in psychosocial care: A systematic literature review analysis. Journal of Open Innovation Technology Market and Complexity, 9(4), 100157. https://doi.org/10.1016/j.joitmc.2023.100157

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Published

31.07.2024

How to Cite

Sukesh Reddy Kotha. (2024). Data Science, AI, And the Third Wave of Governance in the Digital Age. International Journal of Intelligent Systems and Applications in Engineering, 12(23s), 3707 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7842

Issue

Vol. 12 No. 23s (2024)

Section

Research Article

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