How to cite this paper
Yusriadi, Y., Rusnaedi, R., Siregar, N., Megawati, S & Sakkir, G. (2023). Implementation of artificial intelligence in Indonesia.International Journal of Data and Network Science, 7(1), 283-294.
Refrences
Agarwal, P. K. (2018). Public administration challenges in the world of AI and bots. Public Administration Review, 78(6), 917–921.
Allard, S. W., Wiegand, E. R., Schlecht, C., Datta, A. R., Goerge, R. M., & Weigensberg, E. (2018). State agencies’ use of administrative data for improved practice: Needs, challenges, and opportunities. Public Administration Review, 78(2), 240–250.
Androutsopoulou, A., Karacapilidis, N., Loukis, E., & Charalabidis, Y. (2019). Transforming the communication between citizens and government through AI-guided chatbots. Government Information Quarterly, 36(2), 358–367.
Antony, A. (2017). How will AI impact the transportation industry.
Aswandi, R., Muchin, P. R. N., & Sultan, M. (2020). Perlindungan Data Dan Informasi Pribadi Melalui Indonesian Data Protection System (Idps). Jurnal Legislatif, 167–190.
Augier, M. (2002). Administrative Behavior: A Study of Decision‐Making Processes in Administrative Organizations. Ox-ford University Press Oxford, UK.
Barth, T. J., & Arnold, E. (1999). Artificial intelligence and administrative discretion: Implications for public administra-tion. The American Review of Public Administration, 29(4), 332–351.
Bovens, M., & Zouridis, S. (2002). From street‐level to system‐level bureaucracies: how information and communication technology is transforming administrative discretion and constitutional control. Public Administration Review, 62(2), 174–184.
Brooks, T. (1985). New technologies and their implications for local area networks. Computer Communications, 8(2), 82–87.
Brundage, M., Avin, S., Clark, J., Toner, H., Eckersley, P., Garfinkel, B., Dafoe, A., Scharre, P., Zeitzoff, T., & Filar, B. (2018). The malicious use of artificial intelligence: Forecasting, prevention, and mitigation. ArXiv Preprint ArXiv:1802.07228.
Busch, P. A., & Henriksen, H. Z. (2018). Digital discretion: A systematic literature review of ICT and street-level discre-tion. Information Polity, 23(1), 3–28.
Cordella, A., & Tempini, N. (2015). E-government and organizational change: Reappraising the role of ICT and bureau-cracy in public service delivery. Government Information Quarterly, 32(3), 279–286.
Corvalán, J. G. (2018). Digital and intelligent public administration: transformations in the era of artificial intelligence. A&C-Revista de Direito Administrativo & Constitucional, 18(71), 55–87.
Daugherty, P. R., & Wilson, H. J. (2018). Human+ machine: Reimagining work in the age of AI. Harvard Business Press.
Dunleavy, P., & Margetts, H. (2015). Design principles for essentially digital governance.
Elgin, D. S., & Bushnell, R. A. (1975). The Limits to Complexity. US News and World Report.
Froese, T., & Taguchi, S. (2019). The problem of meaning in AI and robotics: still with us after all these years. Philoso-phies, 4(2), 14.
Gil-Garcia, J. R., & Martinez-Moyano, I. J. (2007). Understanding the evolution of e-government: The influence of sys-tems of rules on public sector dynamics. Government Information Quarterly, 24(2), 266–290.
Gong, B., & Ordieres-Meré, J. (2016). Prediction of daily maximum ozone threshold exceedances by preprocessing and ensemble artificial intelligence techniques: Case study of Hong Kong. Environmental Modelling & Software, 84, 290–303.
Gulson, K. N., & Webb, P. T. (2017). Mapping an emergent field of ‘computational education policy’: Policy rationalities, prediction and data in the age of Artificial Intelligence. Research in Education, 98(1), 14–26.
Guntoro, G., Costaner, L., & Lisnawita, L. (2020). Aplikasi chatbot untuk layanan informasi dan akademik kampus ber-basis artificial intelligence markup language (AIML). Digital Zone: Jurnal Teknologi Informasi Dan Komunikasi, 11(2), 291–300.
Gurstein, M. (1985). Social impacts of selected artificial intelligence applications: the Canadian context. Futures, 17(6), 652–671.
Hadden, S. G. (1986). Intelligent advisory systems for managing and disseminating information. Public Administration Review, 572–578.
Hammad. (2018). Penerapan Kecerdasan Buatan (Artificial Intelligence) dalam Resusitasi Jantung Paru Pasien Gawat Da-rurat Berbasis Sistem Operasi. Academia Edu, 1(1).
Hantoro, D. (2012). Perijinan Di Kabupaten Sragen Dalam Perspektif E-Government. Universitas Muhammadiyah Sura-karta.
Harrison, T., F. Luna-Reyes, L., Pardo, T., De Paula, N., Najafabadi, M., & Palmer, J. (2019). The data firehose and AI in government: Why data management is a key to value and ethics. Proceedings of the 20th Annual International Confer-ence on Digital Government Research, 171–176.
Hengstler, M., Enkel, E., & Duelli, S. (2016). Applied artificial intelligence and trust—The case of autonomous vehicles and medical assistance devices. Technological Forecasting and Social Change, 105, 105–120.
Ho, C. W. L., Soon, D., Caals, K., & Kapur, J. (2019). Governance of automated image analysis and artificial intelligence analytics in healthcare. Clinical Radiology, 74(5), 329–337.
Hood, C. (1995). The “new public management” in the 1980s: Variations on a theme. Accounting, Organizations and So-ciety, 20(2–3), 93–109.
Hurley, M. W., & Wallace, W. A. (1986). Expert systems as decision aids for public managers: An assessment of the technology and prototyping as a design strategy. Public Administration Review, 46, 563–571.
Hutajulu, B. M. W. (2021). Sistem Informasi Geografis Pemetaan Limbah Pada Dinas Lingkungan Hidup Dan Kebersihan Kota Bandung. Journal of Artificial Intelligence and Innovative Applications (JOAIIA), 2(3), 167–171.
Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., Wang, Y., Dong, Q., Shen, H., & Wang, Y. (2017). Artificial intelli-gence in healthcare: past, present and future. Stroke and Vascular Neurology, 2(4).
Kankanhalli, A., Charalabidis, Y., & Mellouli, S. (2019). IoT and AI for smart government: A research agenda. In Gov-ernment Information Quarterly, 36(2), 304–309.
Kartika, L., Virgono, A., & Setianingsih, C. (2018). Analisis Sistem Lampu Lalu Lintas Menggunakan Kecerdasan Buatan. EProceedings of Engineering, 5(1).
Leonardi, P. M. (2012). Materiality, sociomateriality, and socio-technical systems: What do these terms mean? How are they different? Do we need them. Materiality and Organizing: Social Interaction in a Technological World, 25, 10–1093.
Lynn Jr, L. E. (2001). The myth of the bureaucratic paradigm: What traditional public administration really stood for. Public Administration Review, 61(2), 144–160.
Margetts, H. (2012). Information technology in government: Britain and America. Routledge.
Marlon, R., Gautama, J., Renando, R., & Ali, W. (2020). Penerapan Artificial Inteligence (AI) pada Robot Asuhan Keperawatan NAR dalam Peningkatan Efektivitas Kinerja Kerja di Rumah Sakit. Journal of Information System and Technology, 1(2), 169–175.
Mergel, I., Rethemeyer, R. K., & Isett, K. (2016). Big data in public affairs. Public Administration Review, 76(6), 928–937.
Mikhaylov, S. J., Esteve, M., & Campion, A. (2018). Artificial intelligence for the public sector: opportunities and chal-lenges of cross-sector collaboration. Philosophical Transactions of the Royal Society a: Mathematical, Physical and Engineering Sciences, 376(2128), 20170357.
Milano, M., O’Sullivan, B., & Gavanelli, M. (2014). Sustainable policy making: A strategic challenge for artificial intel-ligence. Ai Magazine, 35(3), 22–35.
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 2053951716679679.
Mizoguchi, F. (1994). Development of a seamless information environment: information network using ISDN. Telematics and Informatics, 11(3), 225–235.
Mohasses, M. (2019). How AI-Chatbots can make Dubai smarter? 2019 Amity International Conference on Artificial In-telligence (AICAI), 439–446.
Monemnasi, M., & Rozi, A. F. (2017). Seleksi Penerima Beasiswa Dengan Metode Fuzzy Multi-Attribute Decision Mak-ing Dengan Pengembangan. JMAI (Jurnal Multimedia & Artificial Intelligence), 1(1).
Mrowczynska, B., Ciesla, M., Krol, A., & Sladkowski, A. (2017). Application of artificial intelligence in prediction of road freight transportation. Promet-Traffic&Transportation, 29(4), 363–370.
Mutaqin, D. J., Adriansyah, M. N., & Rahayu, N. H. (2021). Penerapan Teknologi Informasi dan Komunikasi Dalam Bi-dang Kehutanan Menuju Kehutanan 4.0. Bappenas Working Papers, 4(2), 218–238.
Muthu, P. P., Thurasamy, R., Alzahrani, A. I., Alfarraj, O., & Alalwan, N. (2016). E-Government service delivery by a lo-cal government agency: The case of E-Licensing. Telematics and Informatics, 33(4), 925–935.
Naughton, J. (2000). A Brief History of the Future: From Radio Days to Internet Years in a Lifetime. Woodstock, NY: Overlook Press.
Noorbakhsh-Sabet, N., Zand, R., Zhang, Y., & Abedi, V. (2019). Artificial intelligence transforms the future of health care. The American Journal of Medicine, 132(7), 795–801.
Pohl, S., Zobel, J., & Moffat, A. (2010). Extended Boolean retrieval for systematic biomedical reviews. In Proceedings of the Thirty-Third Australasian Conferenc on Computer Science-Volume 102 (pp. 117–126). Citeseer.
Pollitt, C., & Bouckaert, G. (2017). Public management reform: A comparative analysis-into the age of austerity. Oxford university press.
Rauch, C. (2018). AI for good—how artificial intelligence can help sustainable development. Transcript from the StartUp Synergy Transition Festival.
Reis, J., Santo, P. E., & Melão, N. (2019). Artificial intelligence in government services: A systematic literature review. World Conference on Information Systems and Technologies, 241–252.
Rogge, N., Agasisti, T., & De Witte, K. (2017). Big data and the measurement of public organizations’ performance and efficiency: The state-of-the-art. Public Policy and Administration, 32(4), 263–281.
Sharma, G. D., Yadav, A., & Chopra, R. (2020). Artificial intelligence and effective governance: A review, critique and research agenda. Sustainable Futures, 2, 100004.
Sharma, J., Sindhu, G. S., Sejwal, S., Solanki, J., & Majumdar, R. (2019). Intelligent vehicle registration certificate. 2019 Amity International Conference on Artificial Intelligence (AICAI), 418–423.
Solihati, K. D., & Indriyani, D. (2021). Managing Artificial Intelligence on Public Transportation (Case Study Jakarta City, Indonesia). IOP Conference Series: Earth and Environmental Science, 717(1), 12021.
Sun, T. Q., & Medaglia, R. (2019). Mapping the challenges of Artificial Intelligence in the public sector: Evidence from public healthcare. Government Information Quarterly, 36(2), 368–383.
Tuan, M. N. D., Thanh, N. N., & Le Tuan, L. (2019). Applying a mindfulness-based reliability strategy to the Internet of Things in healthcare–A business model in the Vietnamese market. Technological Forecasting and Social Change, 140, 54–68.
Walker, R. H., Craig‐Lees, M., Hecker, R., & Francis, H. (2002). Technology‐enabled service delivery: An investigation of reasons affecting customer adoption and rejection. International Journal of Service Industry Management.
Weber, M. (1978). Economy and society: An outline of interpretive sociology (Vol. 2). University of California press.
Wijaya, K. P., & Muslim, M. A. (2016). Peningkatan Akurasi Pada Algoritma Support Vector Machine Dengan Penerapan Information Gain Untuk Mendiagnosa Chronic Kidney Disease. Prosiding 3rd Seminar Nasional Ilmu Komputer, Se-marang, Universitas Negeri Semarang.
Yaeger, K. A., Martini, M., Yaniv, G., Oermann, E. K., & Costa, A. B. (2019). United States regulatory approval of medi-cal devices and software applications enhanced by artificial intelligence. Health Policy and Technology, 8(2), 192–197.
Yigitcanlar, T., Corchado, J. M., Mehmood, R., Li, R. Y. M., Mossberger, K., & Desouza, K. (2021). Responsible urban innovation with local government artificial intelligence (AI): A conceptual framework and research agenda. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 71.
Allard, S. W., Wiegand, E. R., Schlecht, C., Datta, A. R., Goerge, R. M., & Weigensberg, E. (2018). State agencies’ use of administrative data for improved practice: Needs, challenges, and opportunities. Public Administration Review, 78(2), 240–250.
Androutsopoulou, A., Karacapilidis, N., Loukis, E., & Charalabidis, Y. (2019). Transforming the communication between citizens and government through AI-guided chatbots. Government Information Quarterly, 36(2), 358–367.
Antony, A. (2017). How will AI impact the transportation industry.
Aswandi, R., Muchin, P. R. N., & Sultan, M. (2020). Perlindungan Data Dan Informasi Pribadi Melalui Indonesian Data Protection System (Idps). Jurnal Legislatif, 167–190.
Augier, M. (2002). Administrative Behavior: A Study of Decision‐Making Processes in Administrative Organizations. Ox-ford University Press Oxford, UK.
Barth, T. J., & Arnold, E. (1999). Artificial intelligence and administrative discretion: Implications for public administra-tion. The American Review of Public Administration, 29(4), 332–351.
Bovens, M., & Zouridis, S. (2002). From street‐level to system‐level bureaucracies: how information and communication technology is transforming administrative discretion and constitutional control. Public Administration Review, 62(2), 174–184.
Brooks, T. (1985). New technologies and their implications for local area networks. Computer Communications, 8(2), 82–87.
Brundage, M., Avin, S., Clark, J., Toner, H., Eckersley, P., Garfinkel, B., Dafoe, A., Scharre, P., Zeitzoff, T., & Filar, B. (2018). The malicious use of artificial intelligence: Forecasting, prevention, and mitigation. ArXiv Preprint ArXiv:1802.07228.
Busch, P. A., & Henriksen, H. Z. (2018). Digital discretion: A systematic literature review of ICT and street-level discre-tion. Information Polity, 23(1), 3–28.
Cordella, A., & Tempini, N. (2015). E-government and organizational change: Reappraising the role of ICT and bureau-cracy in public service delivery. Government Information Quarterly, 32(3), 279–286.
Corvalán, J. G. (2018). Digital and intelligent public administration: transformations in the era of artificial intelligence. A&C-Revista de Direito Administrativo & Constitucional, 18(71), 55–87.
Daugherty, P. R., & Wilson, H. J. (2018). Human+ machine: Reimagining work in the age of AI. Harvard Business Press.
Dunleavy, P., & Margetts, H. (2015). Design principles for essentially digital governance.
Elgin, D. S., & Bushnell, R. A. (1975). The Limits to Complexity. US News and World Report.
Froese, T., & Taguchi, S. (2019). The problem of meaning in AI and robotics: still with us after all these years. Philoso-phies, 4(2), 14.
Gil-Garcia, J. R., & Martinez-Moyano, I. J. (2007). Understanding the evolution of e-government: The influence of sys-tems of rules on public sector dynamics. Government Information Quarterly, 24(2), 266–290.
Gong, B., & Ordieres-Meré, J. (2016). Prediction of daily maximum ozone threshold exceedances by preprocessing and ensemble artificial intelligence techniques: Case study of Hong Kong. Environmental Modelling & Software, 84, 290–303.
Gulson, K. N., & Webb, P. T. (2017). Mapping an emergent field of ‘computational education policy’: Policy rationalities, prediction and data in the age of Artificial Intelligence. Research in Education, 98(1), 14–26.
Guntoro, G., Costaner, L., & Lisnawita, L. (2020). Aplikasi chatbot untuk layanan informasi dan akademik kampus ber-basis artificial intelligence markup language (AIML). Digital Zone: Jurnal Teknologi Informasi Dan Komunikasi, 11(2), 291–300.
Gurstein, M. (1985). Social impacts of selected artificial intelligence applications: the Canadian context. Futures, 17(6), 652–671.
Hadden, S. G. (1986). Intelligent advisory systems for managing and disseminating information. Public Administration Review, 572–578.
Hammad. (2018). Penerapan Kecerdasan Buatan (Artificial Intelligence) dalam Resusitasi Jantung Paru Pasien Gawat Da-rurat Berbasis Sistem Operasi. Academia Edu, 1(1).
Hantoro, D. (2012). Perijinan Di Kabupaten Sragen Dalam Perspektif E-Government. Universitas Muhammadiyah Sura-karta.
Harrison, T., F. Luna-Reyes, L., Pardo, T., De Paula, N., Najafabadi, M., & Palmer, J. (2019). The data firehose and AI in government: Why data management is a key to value and ethics. Proceedings of the 20th Annual International Confer-ence on Digital Government Research, 171–176.
Hengstler, M., Enkel, E., & Duelli, S. (2016). Applied artificial intelligence and trust—The case of autonomous vehicles and medical assistance devices. Technological Forecasting and Social Change, 105, 105–120.
Ho, C. W. L., Soon, D., Caals, K., & Kapur, J. (2019). Governance of automated image analysis and artificial intelligence analytics in healthcare. Clinical Radiology, 74(5), 329–337.
Hood, C. (1995). The “new public management” in the 1980s: Variations on a theme. Accounting, Organizations and So-ciety, 20(2–3), 93–109.
Hurley, M. W., & Wallace, W. A. (1986). Expert systems as decision aids for public managers: An assessment of the technology and prototyping as a design strategy. Public Administration Review, 46, 563–571.
Hutajulu, B. M. W. (2021). Sistem Informasi Geografis Pemetaan Limbah Pada Dinas Lingkungan Hidup Dan Kebersihan Kota Bandung. Journal of Artificial Intelligence and Innovative Applications (JOAIIA), 2(3), 167–171.
Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., Wang, Y., Dong, Q., Shen, H., & Wang, Y. (2017). Artificial intelli-gence in healthcare: past, present and future. Stroke and Vascular Neurology, 2(4).
Kankanhalli, A., Charalabidis, Y., & Mellouli, S. (2019). IoT and AI for smart government: A research agenda. In Gov-ernment Information Quarterly, 36(2), 304–309.
Kartika, L., Virgono, A., & Setianingsih, C. (2018). Analisis Sistem Lampu Lalu Lintas Menggunakan Kecerdasan Buatan. EProceedings of Engineering, 5(1).
Leonardi, P. M. (2012). Materiality, sociomateriality, and socio-technical systems: What do these terms mean? How are they different? Do we need them. Materiality and Organizing: Social Interaction in a Technological World, 25, 10–1093.
Lynn Jr, L. E. (2001). The myth of the bureaucratic paradigm: What traditional public administration really stood for. Public Administration Review, 61(2), 144–160.
Margetts, H. (2012). Information technology in government: Britain and America. Routledge.
Marlon, R., Gautama, J., Renando, R., & Ali, W. (2020). Penerapan Artificial Inteligence (AI) pada Robot Asuhan Keperawatan NAR dalam Peningkatan Efektivitas Kinerja Kerja di Rumah Sakit. Journal of Information System and Technology, 1(2), 169–175.
Mergel, I., Rethemeyer, R. K., & Isett, K. (2016). Big data in public affairs. Public Administration Review, 76(6), 928–937.
Mikhaylov, S. J., Esteve, M., & Campion, A. (2018). Artificial intelligence for the public sector: opportunities and chal-lenges of cross-sector collaboration. Philosophical Transactions of the Royal Society a: Mathematical, Physical and Engineering Sciences, 376(2128), 20170357.
Milano, M., O’Sullivan, B., & Gavanelli, M. (2014). Sustainable policy making: A strategic challenge for artificial intel-ligence. Ai Magazine, 35(3), 22–35.
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 2053951716679679.
Mizoguchi, F. (1994). Development of a seamless information environment: information network using ISDN. Telematics and Informatics, 11(3), 225–235.
Mohasses, M. (2019). How AI-Chatbots can make Dubai smarter? 2019 Amity International Conference on Artificial In-telligence (AICAI), 439–446.
Monemnasi, M., & Rozi, A. F. (2017). Seleksi Penerima Beasiswa Dengan Metode Fuzzy Multi-Attribute Decision Mak-ing Dengan Pengembangan. JMAI (Jurnal Multimedia & Artificial Intelligence), 1(1).
Mrowczynska, B., Ciesla, M., Krol, A., & Sladkowski, A. (2017). Application of artificial intelligence in prediction of road freight transportation. Promet-Traffic&Transportation, 29(4), 363–370.
Mutaqin, D. J., Adriansyah, M. N., & Rahayu, N. H. (2021). Penerapan Teknologi Informasi dan Komunikasi Dalam Bi-dang Kehutanan Menuju Kehutanan 4.0. Bappenas Working Papers, 4(2), 218–238.
Muthu, P. P., Thurasamy, R., Alzahrani, A. I., Alfarraj, O., & Alalwan, N. (2016). E-Government service delivery by a lo-cal government agency: The case of E-Licensing. Telematics and Informatics, 33(4), 925–935.
Naughton, J. (2000). A Brief History of the Future: From Radio Days to Internet Years in a Lifetime. Woodstock, NY: Overlook Press.
Noorbakhsh-Sabet, N., Zand, R., Zhang, Y., & Abedi, V. (2019). Artificial intelligence transforms the future of health care. The American Journal of Medicine, 132(7), 795–801.
Pohl, S., Zobel, J., & Moffat, A. (2010). Extended Boolean retrieval for systematic biomedical reviews. In Proceedings of the Thirty-Third Australasian Conferenc on Computer Science-Volume 102 (pp. 117–126). Citeseer.
Pollitt, C., & Bouckaert, G. (2017). Public management reform: A comparative analysis-into the age of austerity. Oxford university press.
Rauch, C. (2018). AI for good—how artificial intelligence can help sustainable development. Transcript from the StartUp Synergy Transition Festival.
Reis, J., Santo, P. E., & Melão, N. (2019). Artificial intelligence in government services: A systematic literature review. World Conference on Information Systems and Technologies, 241–252.
Rogge, N., Agasisti, T., & De Witte, K. (2017). Big data and the measurement of public organizations’ performance and efficiency: The state-of-the-art. Public Policy and Administration, 32(4), 263–281.
Sharma, G. D., Yadav, A., & Chopra, R. (2020). Artificial intelligence and effective governance: A review, critique and research agenda. Sustainable Futures, 2, 100004.
Sharma, J., Sindhu, G. S., Sejwal, S., Solanki, J., & Majumdar, R. (2019). Intelligent vehicle registration certificate. 2019 Amity International Conference on Artificial Intelligence (AICAI), 418–423.
Solihati, K. D., & Indriyani, D. (2021). Managing Artificial Intelligence on Public Transportation (Case Study Jakarta City, Indonesia). IOP Conference Series: Earth and Environmental Science, 717(1), 12021.
Sun, T. Q., & Medaglia, R. (2019). Mapping the challenges of Artificial Intelligence in the public sector: Evidence from public healthcare. Government Information Quarterly, 36(2), 368–383.
Tuan, M. N. D., Thanh, N. N., & Le Tuan, L. (2019). Applying a mindfulness-based reliability strategy to the Internet of Things in healthcare–A business model in the Vietnamese market. Technological Forecasting and Social Change, 140, 54–68.
Walker, R. H., Craig‐Lees, M., Hecker, R., & Francis, H. (2002). Technology‐enabled service delivery: An investigation of reasons affecting customer adoption and rejection. International Journal of Service Industry Management.
Weber, M. (1978). Economy and society: An outline of interpretive sociology (Vol. 2). University of California press.
Wijaya, K. P., & Muslim, M. A. (2016). Peningkatan Akurasi Pada Algoritma Support Vector Machine Dengan Penerapan Information Gain Untuk Mendiagnosa Chronic Kidney Disease. Prosiding 3rd Seminar Nasional Ilmu Komputer, Se-marang, Universitas Negeri Semarang.
Yaeger, K. A., Martini, M., Yaniv, G., Oermann, E. K., & Costa, A. B. (2019). United States regulatory approval of medi-cal devices and software applications enhanced by artificial intelligence. Health Policy and Technology, 8(2), 192–197.
Yigitcanlar, T., Corchado, J. M., Mehmood, R., Li, R. Y. M., Mossberger, K., & Desouza, K. (2021). Responsible urban innovation with local government artificial intelligence (AI): A conceptual framework and research agenda. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 71.