Proceedings of the 12th International Conference on Theory and Practice of Electronic Governance 2019
DOI: 10.1145/3326365.3326412
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How Machine Learning is Changing e-Government

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Cited by 48 publications
(26 citation statements)
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“…In recent years, significant applications of AI technologies have found their way into governance. In particular, machine learning, as an expression of AI, is considered a mature technology with broad applications in GovTech (Government Technology) [42], albeit future utilization needs to be based upon responsiveness, efficiency, and fairness [43]. Thus, negative opinions may be related with technological maturity or the lack of relevant pilot/demonstrator applications.…”
Section: Findings and Evaluationmentioning
confidence: 99%
“…In recent years, significant applications of AI technologies have found their way into governance. In particular, machine learning, as an expression of AI, is considered a mature technology with broad applications in GovTech (Government Technology) [42], albeit future utilization needs to be based upon responsiveness, efficiency, and fairness [43]. Thus, negative opinions may be related with technological maturity or the lack of relevant pilot/demonstrator applications.…”
Section: Findings and Evaluationmentioning
confidence: 99%
“…Ketiga, penelitian Khayyat, Alhemdi, dan Alnunu (2020) yang secara konseptual menganalisis manfaat dan tantangan dalam mengimplementasikan blockchain pada e-government serta contoh skenarionya. Keempat, penelitian Alexopoulos et al (2019) yang menjabarkan bagaimana machine learning dan big data dimanfaatkan oleh berbagai lembaga pemerintahan/sektor publik di dunia. Kelima, kajian Al-Sai dan Abualigah (2017) yang memaparkan bagaimana big data diimplementasikan pada pemerintahan serta menjelaskan peluang dan tantangannya.…”
Section: Metodeunclassified
“…Sesuai dengan konsep society 5.0 pada akhirnya layanan yang diberikan akan terus berinovasi sesuai dengan kebutuhan dari masyarakat (Japan Government, 2018). Alexopoulos et al (2019) dalam kajiannya menyampaikan berbagai contoh pemanfaatan machine learning/ML untuk mengefektifkan perencanaan anggaran pemerintahan. Sebagai contoh pada Ministry for Primary Industry/PMI negara Selandia Baru, ML telah digunakan untuk memprediksi risiko penyakit pada hewan ternak sehingga dapat diperoleh estimasi yang lebih tepat mengenai kebijakan maupun perencanaan anggaran yang dibutuhkan untuk menghadapi risiko tersebut.…”
Section: Iii1 Analisis Keberlanjutan Ekonomiunclassified
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“…conducted a research on the ethical isues with disruptive technologies, concluding that there is a significant number of ethical issues connected to the implementation of disruptive technologies in public services. In addition, (Alexopoulos et al, 2019) recommend further research in privacy and ethical issues in the collection of personal data and the ownership of such data by machine learning in government services.…”
Section: Ethical Issuesmentioning
confidence: 99%