اکبری، ایمان، واعظی، رضا، اصلیپور، حسین، عبدالحسینزاده، محمد و شهرآئینی، سیدمجتبی (1403). شناسایی و مدلسازی کارکردهای هوش مصنوعی در ارتقای کارآمدی نظام اداری و ارائه خدمات عمومی. مطالعات مدیریت دولتی ایران، سال 2، شماره 7، 111-147.
ایسنا (۱۴۰۰). سرمایهگذاری سنگین انگلیس برای هوش مصنوعی. تهران: ایسنا. قابل دسترسی در https://www.isna.ir/news/1400081713354
آکادمی همراه (1402). وضعیت هوش مصنوعی در ایران + معرفی ۲۷ شرکت مطرح هوش مصنوعی. تهران: آکادمی همراه. قابل دسترسی در https://hamrah.academy/blog/artificial-intelligence-iran/.
پژوهشگاه ارتباطات و فناوری اطلاعات ( 1403). تأمین زیرساختهای هوش مصنوعی از فعالیتهای کلیدی پژوهشگاه ICT است. تهران: پژوهشگاه ارتباطات و فناوری اطلاعات قابل دسترسی در http://itrc.ac.ir/fa/node/47596.
دانائیفرد، حسن (1401). هوش مصنوعی و کشورداری: واکاوی دستاوردها. مطالعات مدیریت دولتی ایران، سال 5، شماره 4، الف-ح.
دانائیفرد، حسن(1402). هوش مصنوعی و کشورداری: واکاوی ساحتهای تاریک. مطالعات مدیریت دولتی ایران، سال 6، شماره 1، الف-ل.
روشن، سید علیقلی، یعقوبی، نورمحمد، مومنی، امیررضا (1400). کاربست هوش مصنوعی در بخش دولتی (مطالعهای فراترکیب). فصلنامه انجمن علوم مدیریت ایران، سال 16، شماره 61، 117-145.
زاویه (1403) همکاری وزارت دفاع آمریکا باScale AI. . تهران: زاویه. قابل دسترسی در https://zaviehmag.ir/?p=19450.
شایگان، فاطمه (1403)، صادقخانیعلیاکبریرئیس شورای تخصصی هوش مصنوعی ایران شد. تهران: کارنگ. قابل دسترسی در https://karangweekly.ir/35ia
شبکه شرق (1403). سازمان ملی هوش مصنوعی، متولی تنظیمگری دستگاههای مختلف در توسعه ابعاد مختلف هوش مصنوعی است. تهران: شبکه شرق. قابل دسترسی در https://www.sharghdaily.com/fa/tiny/news-937946
طالعی اردکانی، سمانه، شاکراردکانی، ایمان، و فضائل اردکانی، سیدباقر (1402). نقش هوش مصنوعی در حوزه اقتصاد و خدمات مالی. سومین کنفرانس بین المللی تفکر سیستمی در عمل. مشهد: دانشگاه فردوسی مشهد. قابل دسترسی در: https://civilica.com/doc/1873744
عالمیپسند، سمیه، فراهانی، الهام (2024). ظرفیتسازی اجرای هوشمصنوعی در سازمانهای دولتی. تکنولوژی در کارآفرینی و مدیریت استراتژیک، 3(5)، 15-36.
فرهیختگان (1403). سیاستگذاریAI به سبک سنگاپور. تهران: فرهیختگان. قابل دسترسی در: https://farhikhtegandaily.com/page/255122/
مجلس شورای اسلامی (1403). سند راهبردی توسعه هوش مصنوعی در ایران. تهران: مرکز پژوهشهای مجلس شورای اسلامی. قابل دسترسی در. https://rc.majlis.ir/fa/law/show/1811432
مجله شهاب (1403). هوش مصنوعی ایران. تهارن: مجله شهاب. قابل دسترسی در: https://shahaab-co.com/mag/news/iran-artificial-intelligence/
نشاط. س (بی. تا.) انگلیس به دنبال اثبات استفاده مسئولانه از هوش مصنوعی برای مدرنسازی خدمات عمومی، قابل دسترسی در https://chatqt.com/uk-wants-to-prove-ai-can-modernise-public-services-responsibly/
یگانگی، سید کامران (1403). حکمرانی هوش مصنوعی در دولت الکترونیک (چالشها، فواید). رویکردهای نو در مدیریت دولتی، سال اول، شماره 1. 12-1.
Agency for Digitisation. (2019). GB version final-A.https://en.digst.dk/media/lz0fxbt4/305755_gb_version_final-a.pdf.
AI Singapore. (2025). AI Singapore. https://aisingapore.org/.
Aiello, G., & Pavesi, G. (2022). Artificial intelligence in public administration: A systematic review. Government Information Quarterly, 40, e102751.
Akbari, I., Vaezi, R., Aslipour, H., Abdolhosseinzadeh, M., & Shahrai'ni, S. M. (2024). Identification and Modeling of AI Functions in Enhancing the Efficiency of Administrative System and Public Service Delivery. Journal of Iranian Public Administration Studies, 7(2), 111-147.(in Persian)
Alamipasand, S., & Farahani, E. (2024). Capacity Building for Implementing Artificial Intelligence in Public Organizations. Technology in Entrepreneurship and Strategic Management, 3(5), 15-36. (in Persian)
Al-Besher, A., Kumar, K. (2022): Use of artificial intelligence to enhance e-government services. Meas. Sens. 24, 100484, 1-5.
Androniceanu, A. (2023). The new trends of digital transformation and artificial intelligence in public administration. Revista Administratiesi Management Public (RAMP), (40), 147-155.
Anthopoulos, L., Sirakoulis, K., & Reddick, R. (2022). Conceptualizing Smart Government: Interrelations and Reciprocities with Smart City. Digital Government: Research and Practice, 4(33), 1-28.
Awoleye, O. M., Ojuloge, B., & Ilori, M. O. (2014). Web application vulnerability assessment and policy direction towards a secure smart government. Government Information Quarterly, 31(1), 118–125.
Ballard, M. (2023).
U.S. Bill to Allow AI to Help Ease Traffic Flow Moves Forward. US:
e.Republic . Available athttps://www.govtech.com/policy/u-s-bill-to-allow-ai-to-help-ease-traffic-flow-moves-forward.
Barrett, K., Greene, R., The Future of AI For the Public Sector: The Challenges and Solutions, Available at https://www.businessofgovernment.org/blog/future-ai-public-sector-challenges-and-solutions.
Battina, D.S. (2021). Research on Artificial Intelligence for Citizen Services and Government. SSRN Electronic Journal, 5(2),769-773.
Božić, V. (2023). Artificial Intelligence in Public Administration. General Hospital Koprivnica.
Brookings Institution. (2025). How can government use AI systems better? Available at https://www.brookings.edu/articles/for-ai-to-make-government-work-better-reduce-risk-and-increase-transparency/.
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & company.
Capraro, V., Lentsch, A., Acemoğlu, D., Akgün, S., Akhmedova, A., Bilancini, E., Bonnefon, J., Brañas‐Garza, P., Butera, L., Douglas, K. M., Everett, J. A. C., Martignon, L., Greenhow, C., Hashimoto, D. A., Holt‐Lunstad, J., Jetten, J., Johnson, S., Kunz, W. H., Longoni, C., Viale, R. (2024). The impact of generative artificial intelligence on socioeconomic inequalities and policy making. PNAS Nexus, 3(6),191
Chatfield, A. T., & Reddick, C. G. (2019). A framework for Internet of Things-enabled smart government: A case of IoT cybersecurity policies and use cases in U.S. federal government. Government Information Quarterly, 36(2), 346-357.
Chmielinski, K., Newman, S., Kranzinger, C. N., Hind, M., Wortman Vaughan, J., Mitchell, M., Stoyanovich, J., McMillan-Major, A., McReynolds, E., Esfahany, K., Gray, M. L., Hudson, M., & Chang, A. (2024). The CLeAR Documentation Framework for AI Transparency: Recommendations for Practitioners & Context for Policymakers. Shorenstein Center on Media, Politics and Public Policy, Harvard Kennedy School. US: Harvard Kennedy School. Available at https://shorensteincenter.org/wp-content/uploads/2024/05/CleAR_KChmielinski_FINAL.pdf.
Collington, R. (2022). Disrupting the welfare state? Digitalisation and the retrenchment of public sector capacity. New Political Economy, 27(2), 312-328.
Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approach. Sage Publications.
Criado, J. I., Sandoval-Almazán, R., & Gil-Garcia, J. R. (2024). Artificial intelligence and public administration: Understanding actors, governance, and policy from micro, meso, and macro perspectives. Public Policy and Administration, 40(2), 173-184.
https://doi.org/10.1177/09520767241272921. Danayi Fard, H. (2022). Artificial Intelligence and State Governance: Analyzing Achievements.
Iranian Journal of Public Administration Studies, 5(4),b -.h doi: 10.22034/jipas.2022.182690. (in Persian)
Danaeefard, H. (2023). Artificial Intelligence and Statesmanship: Exploring Dark Sides. Journal of Iranian Public Administration Studies, 6(1),1 -10. (in Persian)
Danaeefard, H. (2023). Artificial Intelligence and Statesmanship: Exploring the Outcomes. Journal of Iranian Public Administration Studies, 5(4),1 -10. (in Persian)
David, G. (2024). Artificial Intelligence: Opportunities and Challenges for Public Administration. Canadian Public Administration, 67(3), 388-406.
Dei, H. (2025). Artificial intelligence in public administration: benefits and risks. Management (Montevideo), 3, 137-137.
European Commission. (2020).
Denmark AI strategy report. Denmark: Knowledge4Policy. Available at
https://knowledge4policy.ec.europa.eu/sites/default/files/denmark-ai-strategy-report.pdf.
Farhikhtegan Online. (2024). AI Policy in Singapore Style. Tehran: Farhikhtegan. Available at https://farhikhtegandaily.com/page/255122/.(in Persian)
Fedscoop. (2024). Federal government discloses more than 1,700 AI use cases. US: Fedscoop. Available at https://fedscoop.com/federal-government-discloses-more-than-1700-ai-use-cases/.
FiscalNote. (2024). China's AI policy & development: What you need to know. US: FiscalNote. Available at https://fiscalnote.com/blog/china-ai-policy-development-what-you-need-to-know.
Gams, M., & Gjoreski, M. (2021). Artificial intelligence and ambient intelligence. Electronics, 10(8), 941.
Gams, M., Gu, I. Y. H., Härmä, A., Muñoz, A., & Tam, V. (2019). Artificial intelligence and ambient intelligence. Journal of Ambient Intelligence and Smart Environments, 11(1), 71-86.
George, A. L., & Bennett, A. (2005). Case studies and theory development in the social sciences. MIT Press.
Gil-Garcia, J. R., & Aldama-Nalda, A. (2013). Smart city initiatives and the policy context: The case of the rapid business opening office in Mexico City. In Proceedings of the 14th Annual International Conference on Digital Government Research 234-237,,.
Gil-Garcia, J.R., Pardo, T.A. and Nam, T. 2015. What makes a city smart? Identifying core components and proposing an integrative and comprehensive conceptualization. Information Polity, 20(1), 61-87.
Gill, A (2019). Artificial Intelligence and International Security: The Long View. Ethics & International Affairs, 33, 169 - 179. https://doi.org/10.1017/S0892679419000145
Gong, J., AI Governance in China: Strategies, Initiatives, and Key Considerations. Bird & Bird. Available atvhttps://www.twobirds.com/en/insights/2024/china/ai-governance-in-china-strategies-initiatives-and-key-considerations#:~:text=Led%20by%20the%20Ministry%20of%20Science%20and%20Technology%2C,for%20overseeing%20AI%20policy%20on%20the%20national%20level.
Gonzalez, R. C., Woods, R. E., & Eddins, S. L. (2020). Digital Image Processing Using MATLAB. Upper Saddle River, New Jersey:Pearson.
Goode, K., Kim, H.M., Deng, M. (2023). Examining Singapore’s AI Progress. Singapore’s AI Ecosystem. Available athttps://cset.georgetown.edu/wp-content/uploads/CSET-Examining-Singapores-AI-Progress.pdf
GovInsider. (2024). Singapore introduces three new AI governance initiatives. Singapore: GovInsider. Available at https://govinsider.asia/intl-en/article/singapore-introduces-three-new-ai-governance-initiatives
Hall, W., & Pesenti, J. (2017). Growing the artificial intelligence industry in the UK. UK: UK Government. Available at https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/652097/Growing_the_artificial_intelligence_industry_in_the_UK.pdf.
Hamrah Academy. (2023). Status of Artificial Intelligence in Iran + Introduction to 27 Prominent AI Companies. Tehran: Hamrah Academy. Available at https://hamrah.academy/blog/artificial-intelligence-iran/. (in Persian)
Hansen, S. S. (2022). Public AI imaginaries: How the debate on artificial intelligence was covered in Danish newspapers and magazines 1956-2021. Nordicom Review, 43(1), 56-78
Heeks, R. (2006). Implementing and managing eGovernment: an international text. Chennai, India: SAGE Publications Ltd.
Henman, P. (2020). Improving public services using artificial intelligence: possibilities, pitfalls, governance. Asia Pacific Journal of Public Administration, 42(4), 209–221.
Hou, X. (2021). The application of artificial intelligence in public administration. In Proceedings of the 2021 2nd International Conference on Artificial Intelligence and Education (ICAIE):Dali, China 278-282.. doi:10.1109/ICAIE53562.2021.00063.
Huffman, R., Lee, N., Burnette, R., Shapanka, M., Gweon, A. (2025 January 2025). AI Developments – Transitioning to the Trump Administration. Available athttps://www.globalpolicywatch.com/2025/02/january-2025-ai-developments-transitioning-to-the-trump-administration/
ICT Research Institute. (2024). Providing AI infrastructure is one of the key activities of the ICT Research Institute. Tehran: ICT Research Institute. Available at http://itrc.ac.ir/fa/node/47596 (in Persian)
Invest in Denmark. (2024). Take advantage of the first-in-class Danish AI framework conditions. Denmark: Invest in Denmark. Available at https://investindk.com/ai-in-denmark.
IPI Singapor. (2024). How is Artificial Intelligence (AI) used in the Medical Field?. Singapor: IPI Singapor. Available at https://www.ipi-singapore.org/resources/innovation-insights/how-is-artificial-intelligence-ai-used-in-the-medical-field.html
Irsyam, D.(2024) Driving the Future: How AI is Powering Singapore’s Smart City Vision for 2030. Singapore: medium. Available at https://medium.com/@dirsyamuddin29/driving-the-future-how-ai-is-powering-singapores-smart-city-vision-for-2030-7d371db705fd
Islamic Consultative Assembly. (2024). National Strategic Document for Artificial Intelligence Development in Iran. Tehan: The Research Center of Islamic legislative Assembly Available at https://rc.majlis.ir/fa/law/show/1811432. (in Persian)
ISNA. (2021, November 8). Heavy investment by the UK in artificial intelligence. Tehran: ISNA. Available at https://www.isna.ir/news/1400081713354(in Persian).
Jørgensen, R. F. (2023). Data and rights in the digital welfare state: the case of Denmark. Information, Communication & Society, 26(1), 123-138.
Kliksberg, B. (2000). Rebuilding the state for social development: Towards “smart government”. International Review of Administrative Sci. 66(2):241-257
Larikova, T., Ivankov, P., Novichenko, L., & Khrystyna, K. (2024). Possibilities of integrating artificial intelligence technologies into the system of accounting and analytical support to public sector entitie. Eastern-European Journal of Enterprise Technologies, 6(13), 88–97.
Lijphart, A. (1971). Comparative politics and the comparative method. American Political Science Review, 65(3), 682-693.
Madan, R., & Ashok, M. (2023). AI adoption and diffusion in public administration: A systematic literature review and future research agenda. Government Information Quarterly, 40(1), 101774.
Mikhail, B., Aleksei, M., & Ekaterina, S. (2018). On the way to legal framework for AI in public sector. In Proceedings of the 11th International conference on Theory and Practice of Electronic Governance . 682-684.
Miles, M. B., Huberman, A. M., & Saldaña, J. (2018). Qualitative data analysis: A methods sourcebook 3rd ed.US: Sage Publications.
Ministry of Digitalisation. (2024). Strategic approach to artificial intelligence. DENMARK: The Ministry of Digital Affairs .Available at https://www.english.digmin.dk/Media/638719220318136690/Stategic%20Approach%20to%20Artificial%20Intelligence.pdf
MIREA, A. (2024). The case study– a useful research strategy in the field of military sciences. Bulletin of “Carol I” National Defense University, 13(3), 230–239. https://doi.org/10.53477/2284-9378-24-42
Muñoz, A. (2019). Anonymized Competency-Based Recruitment and Selection Process for Public Sector: A New Approach for Workplace Diversity and Equality. Germany: Research Gate. DOI:10.13140/RG.2.2.30531.22569
National Audit Office. (2024). Use of artificial intelligence in government. UK: National Audit Office Available at https://www.nao.org.uk/wp-content/uploads/2024/03/use-of-artificial-intelligence-in-government.pdf
NIST. (2019). U.S. Leadership in AI: A Plan for Federal Engagement in Developing Technical Standards and Related Tools. National Institute of Standards and Technology.US:NIST. Available at https://www.nist.gov/system/files/documents/2019/08/10/ai_standards_fedengagement_plan_9aug2019.pdf
Novo Nordisk Foundation. (2022). Danish Pioneer Centre for Artificial Intelligence. Denmark: Novo Nordisk Foundation. Available at https://novonordiskfonden.dk/en/projects/danish-pioneer-centre-for-artificial-intelligence/
Onduko, J., Kalombo, M. A., Kuol, M. D., Makale, B. G., & Saleh, M. A. (2024). AI-Driven Governance: Transforming Public and Addressing Legacy Issues in Post-Colonial Africa. Proceedings of the 11 th London International Conferences. London 52–63.
Papyshev, G., & Yarime, M. (2023). The state’s role in governing artificial intelligence: development, control, and promotion through national strategies. Policy Design and Practice, 6(1), 79-102.
Patil, D. (2024). Ethical Challenges in Industrial Artificial Intelligence Applications: Bias, Privacy, And Accountability Elsevier. Available at SSRN: https://ssrn.com/abstract=5057418 or http://dx.doi.org/10.2139/ssrn.5057418
PDPC. (2020). Model AI governance framework. Personal Data Protection Commission Singapore. Singapore: PDPC. Available a https://www.pdpc.gov.sg/help-and-resources/2020/01/model-ai-governance-framework
Pulijala, S. (2024). Artificial Intelligence in Governance: Opportunities, Challenges, and Ethical Implications for Public Administration. International Journal for Multidisciplinary Research, 6(6), 1-10
Ragin, C. C. (1987). The comparative method: Moving beyond qualitative and quantitative strategies. California: University of California Press.
Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The automation–augmentation paradox. Academy of management review, 46(1), 192-210.
Roushan, S. A., Ya'qoubi, N., & Momeni, A. (2022). Application of Artificial Intelligence in the Public Sector (Meta-analysis Study). Quarterly Journal of the Iranian Management Science Association, 16(61), 117-145. (in Persian)
Sánchez, J. M., Rodríguez, J. P., & Espitia, H. E. (2020). Review of artificial intelligence applied in decision-making processes in agricultural public policy. Processes, 8(11), 13-74.
Scanlon, R. (2025). Beyond DeepSeek: How China's AI ecosystem fuels breakthroughs. Retrieved from https://www.lawfaremedia.org/article/beyond-deepseek--how-china-s-ai-ecosystem-fuels-breakthroughs
Scholl, H.J. and Scholl, M.C. 2014. Smart Governance: A Roadmap for Research and Practice. In Proceedings of the 21st iConference 2014.UK, 163-176.
Seawright, J., & Gerring, J. (2008). Case selection techniques in case study research: A menu of qualitative and quantitative options. Political Research Quarterly, 61(2), 294-308.
Shvets, K., Onyshchenko, A., Kudin, V., & Korchak, N. (2024). Application of artificial intelligence in modern public administration: New opportunities and challenges. International Journal of Informatics and Communication Technology (IJ-ICT), 13(3), 509–518
Smart Nation Singapore. (2024). Charting Singapore's AI Journey: The National Artificial Intelligence Strategy 1.0. Singapore: Smart Nation Singapore. Available at https://www.smartnation.gov.sg/files/publications/national-ai-strategy.pdf.
Smart Nation Singapore. (2025). AI for the Public Good, for Singapore and the World. Singapore: Smart Nation Singapore. Available athttps://www.smartnation.gov.sg/nais/
South China Morning Post. (2024). China's public sector accelerates AI adoption in 2024 as Zhipu and iFlytek emerge winners. Honk Kong: South China Morning Post . Available at https://www.scmp.com/tech/tech-trends/article/3267866/chinas-public-sector-accelerates-ai-adoption-2024-zhipu-and-iflytek-emerge-winners
Southwick,R. (2025). AI in healthcare: What to expect in 2025. New Jersey: Chief Health Care Executive. Available at https://www.chiefhealthcareexecutive.com/view/ai-in-healthcare-what-to-expect-in-2025.
Strelcenoks, J. (2024). Requirements for the Concept of the Implementation of Artificial Intelligence as a Tool for Preventing Corruption in the Public Sector. Acta Prosperitatis, 15(1), 154–163.
Szczepański, M. (2024) United States approach to artificial intelligence. EPRS. Available at: https://www.europarl.europa.eu/RegData/etudes/ATAG/2024/757605/EPRS_ATA(2024)757605_EN.pdf
The White House. (2019). Executive Order on Maintaining American Leadership in Artificial Intelligence. Washington, D.C: The White House. Available at https://trumpwhitehouse.archives.gov/presidential-actions/executive-order-maintaining-american-leadership-artificial-intelligence/.
Thierer, A., O’Sullivan, A., & Russell, R. (2017). Artificial intelligence and public policy. Arlington, VA: Mercatus Center George Mason University. Available athttps://www.mercatus. org/system/files/thierer-artificial-intelligence-policy-mrmercatus-v1.pdf
U.S. Department of State. (2023). Enterprise Artificial Intelligence Strategy. Washington, D.C: U.S. Department of State. Available at https://www.state.gov/wp-content/uploads/2023/11/Department-of-State-Enterprise-Artificial-Intelligence-Strategy.pdf.
UNDP. (2024). Pairing with AI for Public Sector Impact in Singapore. UNDP. Available athttps://www.undp.org/policy-centre/singapore/blog/pairing-ai-public-sector
United Nations. (2024). Data Center. United Nations E-Government Knowledgebase. New York: United Nations. Available athttps://publicadministration.un.org/egovkb/en-us/data-center
Valle-Cruz, D., Gil-Garcia, J. R., & Fernandez-Cortez, V. (2020). Towards smarter public budgeting? Understanding the potential of artificial intelligence techniques to support decision making in government. In The 21st Annual International Conference on Digital Government Research ,232-242.
Vogl, T. M., Seidelin, C., Ganesh, B., & Bright, J. (2020). Smart technology and the emergence of algorithmic bureaucracy: Artificial intelligence in UK local authorities. Public Administration Review, 80(6), 946-961.
Waza, A. M. (2024). Examining the Role of Artificial Intelligence in Improving Decision Making Processes in Governance. in governance. International Journal of Advanced Technology and Social Sciences,2(7), 1139-1150.
White, J., & Cesareo, S. (2024, October 2023). Global AI Index. Tortoise Media. Britain: Tortoise Media. Available at https://www.tortoisemedia.com/intelligence/global-ai#rankings.
Wirtz, B. W., Weyerer, J. C., & Sturm, B. J. (2020). The dark sides of artificial intelligence: An integrated AI governance framework for public administration. International Journal of Public Administration, 43(9), 818-829.
Yar, M. A., Hamdan, M., Anshari, M., Fitriyani, N. L., &Syafrudin, M. (2024). Governing with Intelligence: The Impact of Artificial Intelligence on Policy Development. Information, 15(9),556. https://doi.org/10.3390/info15090556
Yeganeghi, S. K. (2024). AI Governance in E-Government (Challenges, Benefits). New Approaches in Public Management, 1(1). 1-12. (in Persian)
Yin, R. K. (2017). Case study research and applications: Design and methods. US: Sage Publications.
Zakaria, S., & Khullar, P. (2025). UK government’s AI plan gives a glimpse of how it plans to regulate the technology. UK: The Conversation. Available at https://theconversation.com/uk-governments-ai-plan-gives-a-glimpse-of-how-it-plans-to-regulate-the-technology-248140
Zarsky, T. (2016). The trouble with algorithmic decisions: An analytic road map to examine efficiency and fairness in automated and opaque decision making. Science, Technology, & Human Values, 41(1), 118-132.
Zhang, W & Zuo, Na & He, Wu & Li, Songtao& Yu, Lu, (2021). Factors influencing the use of artificial intelligence in government: Evidence from China. Technology in Society, Elsevier, (66), 101675. DOI: 10.1016/j.techsoc.2021.101675
Zheng, Y., Yu, H., Cui, L., Miao, C., Leung, C., & Yang, Q. (2018). SmartHS: An AI platform for improving government service provision. In 32nd AAAI conference on artificial intelligence. Louisiana: AAAI. https://www.aaai.org/ocs/index. php/AAAI/AAAI18/paper/view/16041/16369.
