State Capabilities for Digital Transformation
A Theoretical Model of Responsible Artificial Intelligence Governance in Local Governments
Keywords:
State capabilities, digital transformation, public governance, local governments, artificial intelligenceAbstract
This article proposes a theoretical model focused on the state capabilities needed to implement digital transformation and responsible governance of artificial intelligence in local public administrations, highlighting technical competence and administrative ethics.
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References
Bozeman, B. (2007). Public values and public interest: Counterbalancing economic individualism. Georgetown University Press.
Candeias, R., et al. (2021). Digital transformation in local government. Government Information Quarterly, 38(2), 101-115.
Centeno, M. A., et al. (2017). The emergence of state capacity. Annual Review of Sociology, 43, 129-148.
Deetz, S. (2001). Conceptualizing organization-stakeholder communication. Management Communication Quarterly, 15(1), 51-60.
Dunleavy, P., et al. (2006). New public management is dead, long live digital-era governance. Journal of Public Administration Research and Theory, 16(3), 467-494.
Eubanks, V. (2018). Automating inequality. St. Martin's Press.
Evans, P. (1995). Embedded autonomy: States and industrial transformation. Princeton University Press.
Floridi, L., et al. (2018). AI4People, An ethical framework for a good AI society. Minds and Machines, 28(4), 689-707.
Jarrahi, M. H. (2018). Artificial intelligence and the future of work. Business Horizons, 61(4), 577-586.
Kitchin, R. (2014). The data revolution. Sage Publications.
Kuziemski, M., & Misuraca, G. (2020). AI governance in the public sector. Telecommunications Policy, 44(6), 101976.
Moore, M. H. (1995). Creating public value: Strategic management in government. Harvard University Press.
Morozov, E. (2013). To save everything, click here: The folly of technological solutionism. PublicAffairs.
O'Neil, C. (2016). Weapons of math destruction. Crown.
Raji, I. D., et al. (2020). Closing the AI accountability gap. Proceedings of FAT* 2020, 33-44.
Schuppan, T. (2009). E-government in developing countries. Government Information Quarterly, 26(1), 118-127.
Skocpol, T. (1985). Bringing the state back in. In Evans, Rueschemeyer & Skocpol (Eds.), Bringing the state back in (pp. 3-43). Cambridge University Press.
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Articles published by Noemica Journal are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Sharing and adapting the content is permitted for any purpose, provided appropriate credit is given to the authors and the original publication.
