APLIKASI ARTIFICIAL INTELLIGENCE (AI) DALAM PROSES ADMINISTRATIF PEMERINTAHAN: ASPEK HUKUM DAN REGULASI
Keywords:
Artificial Intelligence (AI) Applications, Government Administrative Processes, Legal and Regulatory AspectsAbstract
The application of Artificial Intelligence (AI) in government administrative processes can improve the efficiency and effectiveness of public services by processing data quickly and accurately, as well as helping to personalise services to the community. Nevertheless, the use of AI in government faces significant challenges in the legal and regulatory fields, particularly in ensuring the transparency and accountability of AI systems to avoid bias and discrimination. Legal aspects that must be considered include personal data protection and cybersecurity, as large-scale data processing increases the risk to individual privacy. Therefore, comprehensive regulations are needed to ensure that AI is applied responsibly and ethically, protecting public rights and interests while still encouraging innovation in government administration.
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References
Balkin, J. M. (2017). The Three Laws of Robotics in the Age of Big Data. Harvard Journal of Law & Technology, 30(5), 60–85.
Barry, V., & Green, S. (2020). Artificial Intelligence and the Law: Exploring the Legal, Ethical, and Policy Implications. Cambridge University Press.
Carl, M. (2020). The Limits of Artificial Intelligence in the Government Sector. Public Administration Review, 80(4), 615–620. https://doi.org/10.1111/puar.13194
Cath, C. (2018). Governing artificial intelligence: Ethical, legal and technical opportunities and challenges. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376(2133), 20180080. https://doi.org/10.1098/rsta.2018.0080
Chen, M., Zhang, Y., & Li, Y. (2020). AI Governance by Human Rights-Centric Legal Frameworks. Journal of Law & Economic Regulation, 13(2), 301–322. https://doi.org/10.2139/ssrn.3382347
Coglianese, C., & Lehr, D. (2019). Transparency and Algorithmic Governance. Administrative Law Review, 71(1), 1–26.
Crawford, K., & Schultz, J. (2014). Big Data and Due Process: Toward a Framework to Redress Predictive Privacy Harms. Boston College Law Review, 55(1), 93–128. https://doi.org/10.2139/ssrn.2325784
Dann, P., & Alston, P. (2019). The role of digital technologies in advancing human rights. International Journal of Human Rights, 23(9), 1565–1581. https://doi.org/10.1080/13642987.2019.1608726
Deeks, A. (2019). The Judicial Demand for Explainable Artificial Intelligence. Columbia Law Review, 119(7), 1829–1850.
Ebers, M., & Navas, S. (2020). Algorithms and Law. Cambridge University Press.
Engstrom, D. F., Ho, D. E., Sharkey, C. M., & Cuéllar, M. F. (2020). Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies. Administrative Conference of the United States. https://doi.org/10.2139/ssrn.3540051
Eubanks, V. (2018). Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. The MIT Press, 6(1), 15–30. https://doi.org/10.7551/mitpress/9780262037773.001.0001
Galvan, J. L., & Galvan, M. C. (2017). Writing Literature Reviews: A Guide for Students of the Social and Behavioral Sciences (7th ed.). Routledge.
Goodman, B., & Flaxman, S. (2017). European Union regulations on algorithmic decision-making and a ‘right to explanation’. AI Magazine, 38(3), 50–57. https://doi.org/10.1609/aimag.v38i3.2741
Green, B. N., Johnson, C. D., & Adams, A. (2006). Writing Narrative Literature Reviews for Peer-Reviewed Journals: Secrets of the Trade. Journal of Chiropractic Medicine, 5(3), 101–117.
Hoffman, S. G., & Kleinberg, J. (2020). Discrimination in the Age of Algorithms. Zeitschrift Für Rechtssoziologie, 41(2), 237–242. https://doi.org/10.1007/s00799-020-00277-y
Larson, J., Mattu, S., Kirchner, L., & Angwin, J. (2019). How We Analyzed the COMPAS Recidivism Algorithm. ProPublica, May(23), 2019. https://doi.org/10.2139/ssrn.3165647
Pasquale, F. (2015). The Black Box Society: The Secret Algorithms That Control Money and Information. Harvard University Press. https://doi.org/10.4159/harvard.9780674736061
Ponce, A., & George, M. (2019). Artificial intelligence, automation, and digitalization in the legal sector. Journal of Business Law, 50(4), 581–600. https://doi.org/10.1111/jbl.12205
Schartum, D. W. (2020). Law and Algorithms in the Public Sector. In Algorithms and Law: Perspectives from the Practitioners. Springer. https://doi.org/10.1007/978-3-030-28080-3_14
Torraco, R. J. (2005). Writing Integrative Literature Reviews: Guidelines and Examples. Human Resource Development Review, 4(3), 356–367.
Veale, M., & Brass, I. (2019). Administration by Algorithm? Public Management Meets Public Sector Machine Learning. Proceedings of the 31st Australian Conference on Human-Computer Interaction, 424–433. https://doi.org/10.1145/3369457.3369506
Wirtz, B. W., Weyerer, J. C., & Geyer, C. (2018). Artificial Intelligence and the Public Sector—Applications and Challenges. International Journal of Public Administration, 42(7), 596–615. https://doi.org/10.1080/01900692.2018.1513717
