Agrawal, A., Gans, J., & Goldfarb, A. (2019). Economic policy for artificial intelligence. Innovation policy and the economy, 19(1), 139-159. https://doi.org/10.1086/699935.
Ahangari, Navid. (2025). Meta-analysis of Artificial Intelligence Applications in the Development of Mixed Land Uses in Tehran City. Urban Economics and Planning, [In Persian]. https://www.juep.net/article_229669.html.
Allen, D., Hubbard, S., Lim, W., Stanger, A., Wagman, S., Zalesne, K., & Omoakhalen, O. (2025). A roadmap for governing AI: technology governance and power-sharing liberalism. AI and Ethics, 5(3), 3355-3377. https://doi.org/10.1007/s43681-024-00635-y.
Amodei, D., Olah, C., Steinhardt, J., Christiano, P., Schulman, J., & Mané, D. (2016). Concrete Problems in AI Safety. arXiv:1606.06565. https://doi.org/10.48550/arXiv.1606.06565.
Andrews, P., de Sousa, T., Haefele, B., Beard, M., Wigan, M., Palia, A.,... & Jacquet, A. (2022). A Trust Framework for Government Use of Artificial Intelligence and Automated Decision Making. arXiv preprint arXiv:2208.10087. https://doi.org/10.48550/arXiv.2208.10087.
Askell, A., Brundage, M., & Hadfield, G. (2019). The Role of Cooperation in Responsible AI Development. arXiv:1907.04534.https://doi.org/10.48550/arXiv.1907.04534.
Attard-Frost, B., Brandusescu, A., & Lyons, K. (2024). The governance of artificial intelligence in Canada: Findings and opportunities from a review of 84 AI governance initiatives. Government Information Quarterly, 41(2), 101929. https://doi.org/10.1016/j.giq.2024.101929.
Batool, A., Zowghi, D., & Bano, M. (2025). AI governance: a systematic literature review. AI and Ethics, 1-15. https://doi.org/10.1007/s43681-024-00653-w
Birkstedt, T., Minkkinen, M., Tandon, A., & Mäntymäki, M. (2023). AI governance: themes, knowledge gaps and future agendas. Internet Research, 33(7), 133-167. https://doi.org/10.1108/INTR-01-2022-0042.
Birkstedt, T., Minkkinen, M., Tandon, A., & Mäntymäki, M. (2023). AI governance: themes, knowledge gaps and future agendas. Internet Research, 33(7), 133-167. https://doi.org/10.1108/INTR-01-2022-0042.
Budhwar, P., Chowdhury, S., Wood, G., Aguinis, H., Bamber, G. J., Beltran, J. R.,... & Varma, A. (2023). Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT. Human Resource Management Journal, 33(3), 606-659. https://doi.org/10.1111/1748-8583.12524.
Bullock, Justin B. (Ed.) (2024): The Oxford handbook of AI governance. New York: Oxford University Press.
Camilleri, M. A. (2024). Artificial intelligence governance: Ethical considerations and implications for social responsibility. Expert systems, 41(7), e13406.
Camilleri, M. A. (2024). Artificial intelligence governance: Ethical considerations and implications for social responsibility. Expert systems, 41(7), e13406. https://doi.org/10.1111/exsy.13406.
Camilleri, M. A. (2024). Artificial intelligence governance: Ethical considerations and implications for social responsibility. Expert systems, 41(7), e13406. https://doi.org/10.1111/exsy.13406.
Cancela-Outeda, C. (2024). The EU’s AI act: A framework for collaborative governance. Internet of Things, 27, 101291. https://doi.org/10.1016/j.iot.2024.101291.
Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International journal of educational technology in higher education, 20(1), 38. https://doi.org/10.1186/s41239-023-00408-3 
Cheng, J., & Zeng, J. (2023). Shaping AI’s future? China in global AI governance. Journal of Contemporary China, 32(143), 794-810. https://doi.org/10.1080/10670564.2022.2107391. 
Chiarelli, P. (2016). Artificial and Biological Intelligence: Hardware vs Wetware. American Journal of Applied Psychology, 5(6), 98-103. doi: 10.11648/j.ajap.20160506.19.
Christian, B. (2020). The Alignment Problem: Machine Learning and Human Values. W. W. Norton.
Cihon, P., Maas, M. M., & Kemp, L. (2020). Fragmentation and the Future: Investigating Architectures for International AI Governance. Global Policy. https://doi.org/10.1111/1758-5899.12890.
Cihon, P., Maas, M. M., & Kemp, L. (2020). Fragmentation and the future: Investigating architectures for international AI governance. Global Policy, 11(5), 545-556. https://doi.org/10.1111/1758-5899.12890.
Cihon, P., Maas, M. M., & Kemp, L. (2020, February). Should artificial intelligence governance be centralised? Design lessons from history. In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (pp. 228-234). https://dl.acm.org/doi/abs/10.1145/3375627.3375857.
Coglianese, C. (2023). Procurement and artificial intelligence (Public Law and Legal Theory Research Paper Series No. 23-33). University of Pennsylvania Carey Law School.
Coyle, D., & Weller, A. (2020). “Explaining” machine learning reveals policy challenges. Science, 368(6498), 1433-1434. DOI: 10.1126/science.aba9647.
Dafoe, A. (2018). AI governance: a research agenda. Governance of AI Program, Future of Humanity Institute, University of Oxford: Oxford, UK, 1442, 1443.
David, A., Yigitcanlar, T., Desouza, K., Li, R. Y. M., Cheong, P. H., Mehmood, R., & Corchado, J. (2024). Understanding local government responsible AI strategy: An international municipal policy document analysis. Cities, 155, 105502. https://cdn.governance.ai/GovAI-Research-Agenda.pdf.
de Almeida, P. G. R., & dos Santos Junior, C. D. (2025). Artificial intelligence governance: Understanding how public organizations implement it. Government information quarterly, 42(1), 102003. https://doi.org/10.1016/j.cities.2024.105502.
Díaz-Rodríguez, N., Coeckelbergh, M., Herrera-Viedma, E., Herrera, F., & Del Ser, J. (2023). Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation. University of Granada. https://doi.org/10.1016/j.inffus.2023.101896.
Díaz-Rodríguez, N., Del Ser, J., Coeckelbergh, M., De Prado, M. L., Herrera-Viedma, E., & Herrera, F. (2023). Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation. Information Fusion, 99, 101896. https://doi.org/10.1016/j.inffus.2023.101896
European Parliament and Council. (2024). Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). Official Journal of the European Union.  
Flick, Uwe. (2015). An Introduction to Qualitative Research. (Trans. Hadi Jalili). Tehran: Ney Publishing, [In Persian].
Garfinkel, B. (2024). General purpose technologies. In J. Bullock et al. (Eds.) , The Oxford Handbook of AI Governance. Oxford University Press.
Gasser, U., & Almeida, V. A. (2017). A layered model for AI governance. IEEE Internet Computing, 21(6), 58-62. DOI: 10.1109/MIC.2017.4180835
Gritsenko, D., Markham, A., Pötzsch, H., & Wijermars, M. (2022). Algorithms, contexts, governance: An introduction to the special issue. new media & society, 24(4), 835-844. https://doi.org/10.1177/14614448221079037
Gruetzemacher, R., & Whittlestone, J. (2022). Transformative AI: Definitions, thresholds, and development scenarios. (Working paper / preprint).
Hadley, E., Blatecky, A., & Comfort, M. (2024). Investigating algorithm review boards for organizational responsible artificial intelligence governance. AI and Ethics, 1-11.
Hassan, M., Borycki, E. M., & Kushniruk, A. W. (2025, March). Artificial intelligence governance framework for healthcare. In Healthcare Management Forum (Vol. 38, No. 2, pp. 125-130). Sage CA: Los Angeles, CA: SAGE Publications. DOI: 10.1177/08404704241291226.
Herrera-Poyatos, A., Del Ser, J., de Prado, M. L., Wang, F. Y., Herrera-Viedma, E., & Herrera, F. (2025). Responsible Artificial Intelligence Systems: A Roadmap to Society’s Trust through Trustworthy AI, Auditability, Accountability, and Governance. https://doi.org/10.48550/arXiv.2503.04739.
Hildebrandt, M. (2018). Algorithmic regulation and the rule of law. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376(2128), 20170355. https://doi.org/10.1098/rsta.2017.0355
Hine, E., & Floridi, L. (2024). Artificial intelligence with American values and Chinese characteristics: a comparative analysis of American and Chinese governmental AI policies. Ai & society, 39(1), 257-278. https://doi.org/10.1007/s00146-022-01499-8.
Hooghe, L., & Marks, G. (2003). Unraveling the central state, but how? Types of multi-level governance. American Political Science Review, 97(2), 233-243
Housley, W., & Smith, S. (2023). Algorithmic governance: Technology, power, and knowledge. In The SAGE handbook of digital society (pp. 439-457). DOI:10.4135/9781529783193.
Jobin, A. (2019). Artificial Intelligence: the global landscape of ethics guidelines. arXiv preprint arXiv:1906.11668.
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature machine intelligence, 1(9), 389-399. https://arxiv.org/pdf/1906.11668.
Kissinger, Henry; Schmidt, Eric; & Huttenlocher, Daniel. (2024). The Age of Artificial Intelligence and Our Human Future. 1st ed. Tehran: Parseh Publishing, [In Persian].
Koremenos, B., Lipson, C., & Snidal, D. (2001). The rational design of international institutions. International Organization, 55(4), 761-799. DOI: https://doi.org/10.1162/002081801317193592.
Krafft, P. M., Young, M., Katell, M., Huang, K., & Bugingo, G. (2020, February). Defining AI in policy versus practice. In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (pp. 72-78). doi/abs/10.1145/3375627.3375835.
Kuziemski, M., & Misuraca, G. (2020). AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings. Telecommunications policy, 44(6), 101976. https://doi.org/10.1016/j.telpol.2020.101976. 
Loi, M., & Spielkamp, M. (2021, July). Towards accountability in the use of artificial intelligence for public administrations. In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (pp. 757-766). doi/abs/10.1145/3461702.3462631.
Lu, Q., Zhu, L., Xu, X., Whittle, J., Zowghi, D., & Jacquet, A. (2024). Responsible AI pattern catalogue: A collection of best practices for AI governance and engineering. ACM Computing Surveys, 56(7), 1-35. https://doi.org/10.1145/3626234
Maas, M. M. (2023). Advanced AI Governance: A literature review of problems, options, and proposals. AI Foundations Report, 4. Maas, Matthijs M., Advanced AI Governance: A Literature Review of Problems, Options, and Proposals (November 10, 2023). AI Foundations Report 4, Available at SSRN:  http://dx.doi.org/10.2139/ssrn.4629460 
Majdzadeh, Seyed Anoushirvan; Salajegheh, Sanjar; Nikpour, Amin; & Kamali Mohammadjalal, Kamal. (2023). Meta-Analysis of E-Government Studies in Enhancing Good Governance Indicators. Strategic Management Research, 29(89), 77-108, [In Persian].
Mäntymäki, M., Minkkinen, M., Birkstedt, T., & Viljanen, M. (2022). Defining organizational AI governance. AI and Ethics, 2(4), 603-609. https://doi.org/10.1007/s43681-022-00143-x
Marchant, G. E., & Gutierrez, C. I. (2022). Soft law 2.0: an agile and effective governance approach for artificial intelligence. Minn. JL Sci. & Tech., 24, 375.
Marda, V. (2018). Artificial intelligence policy in India: a framework for engaging the limits of data-driven decision-making. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376(2133), 20180087. https://doi.org/10.1098/rsta.2018.0087.
Minkkinen, M., & Mäntymäki, M. (2023). Discerning between the “easy” and “hard” problems of AI governance. IEEE Transactions on Technology and Society, 4(2), 188-194.
Mofidi-Yazdi, Hossein. (2023-2025). Artificial Intelligence Responsibility. Fiqh of Artificial Intelligence Course. Retrieved from, [In Persian].
Mökander, J., & Floridi, L. (2023). Operationalising AI governance through ethics-based auditing: an industry case study. AI and Ethics, 3(2), 451-468. https://doi.org/10.1007/s43681-022-00171-7
Molloy, B. T. (2021). Project Governance for Defense Applications of Artificial Intelligence. Prism, 9(3), 106-121. https://www.jstor.org/stable/48640749?seq=1
Morley, J., Floridi, L., Kinsey, L., & Elhalal, A. (2020). From what to how: an initial review of publicly available AI ethics tools, methods and research to translate principles into practices. Science and engineering ethics, 26(4), 2141-2168. https://doi.org/10.1126/science.132.3429.741‏ 
Papagiannidis, E., Enholm, I. M., Dremel, C., Mikalef, P., & Krogstie, J. (2023). Toward AI governance: Identifying best practices and potential barriers and outcomes. Information Systems Frontiers, 25(1), 123-141. https://doi.org/10.1007/s10796-022-10251-y
Papagiannidis, E., Mikalef, P., & Conboy, K. (2025). Responsible artificial intelligence governance: A review and research framework. The Journal of Strategic Information Systems, 34(2), 101885. https://doi.org/10.1016/j.jsis.2024.101885
Perry, B., & Uuk, R. (2019). AI governance and the policymaking process: key considerations for reducing AI risk. Big data and cognitive computing, 3(2), 26. https://doi.org/10.3390/bdcc3020026.
Pourkarimi, Javad, & Ali-Akbari, Zahra. (2025). The Four Dimensions of Artificial Intelligence Governance in Education: A Meta-Synthesis Study. Modern Advances in Educational Management, [In Persian].
Roberts, H., Cowls, J., Morley, J., Taddeo, M., Wang, V., & Floridi, L. (2021). The Chinese approach to artificial intelligence: an analysis of policy, ethics, and regulation. In Ethics, governance, and policies in artificial intelligence (pp. 47-79). 
Roberts, H., Hine, E., Taddeo, M., & Floridi, L. (2024). Global AI governance: barriers and pathways forward. International Affairs, 100(3), 1275-1286. https://doi.org/10.1093/ia/iiae073.
Robles, P., & Mallinson, D. J. (2025). Artificial intelligence technology, public trust, and effective governance. Review of Policy Research, 42(1), 11-28. https://doi.org/10.1111/ropr.12555.
Roche, C., Wall, P. J., & Lewis, D. (2023). Ethics and diversity in artificial intelligence policies, strategies and initiatives. AI and Ethics, 3(4), 1095-1115. https://doi.org/10.1007/978-3-030-20680-2.
Russell, Stuart J.; Norvig, Peter (2016): Artificial intelligence. A modern approach. 3. edition. Global edition. Upper Saddle River: Pearson (Prentice Hall series in artificial intelligence).
Schiff, D. (2022). Education for AI, not AI for education: The role of education and ethics in national AI policy strategies. International Journal of Artificial Intelligence in Education, 32(3), 527-563. https://doi.org/10.1007/s40593-021-00270-2
Schiff, D., Biddle, J., Borenstein, J., & Laas, K. (2020, February). What’s next for ai ethics, policy, and governance? a global overview. In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (pp. 153-158). https://doi.org/10.1145/3375627.33758
Schneider, J., Abraham, R., Meske, C., & Vom Brocke, J. (2023). Artificial intelligence governance for businesses. Information Systems Management, 40(3), 229-249. https://doi.org/10.1080/10580530.2022.2085825.
Sigfrids, A., Leikas, J., Salo-Pöntinen, H., & Koskimies, E. (2023). Human-centricity in AI governance: A systemic approach. Frontiers in artificial intelligence, 6, 976887. https://doi.org/10.3389/frai.2023.976887
Socol, A., & Iuga, I. C. (2024). Addressing brain drain and strengthening governance for advancing government readiness in artificial intelligence (AI). Kybernetes, 53(13), 47-71. https://doi.org/10.1108/K-03-2024-0629.
Sohrabifard, Nasrin. (2006). A Review of the Fundamentals of Meta-Analysis. Iranian Psychologists Quarterly, 3(10), 1-10, [In Persian].
Stix, C. (2021). The ghost of AI governance past, present and future: AI governance in the European Union. arXiv preprint arXiv:2107.14099.https://doi.org/10.48550/arXiv.2107.14099
Straub, V. J., Morgan, D., Bright, J., & Margetts, H. (2023). Artificial intelligence in government: Concepts, standards, and a unified framework. Government Information Quarterly, 40(4), 101881. https://doi.org/10.1016/j.giq.2023.101881.
Taeihagh, A. (2021). Governance of artificial intelligence. Policy and society, 40(2), 137-157. https://doi.org/10.1080/14494035.2021.1928377
Tallberg, J., Erman, E., Furendal, M., Geith, J., Klamberg, M., & Lundgren, M. (2023). The global governance of artificial intelligence: Next steps for empirical and normative research. International Studies Review, 25(3), viad040. https://doi.org/10.1093/isr/viad040.
Torabi, Mohammad-Amin, & Eghbal, Hadis. (2024). A Model of Artificial Intelligence Governance for Government Administration in the Islamic Republic of Iran. Contemporary Iranian Government Studies, [In Persian].
Turk, Ž. (2024). Regulating artificial intelligence: A technology-independent approach. European View, 23(1), 87-93. https://doi.org/10.1177/17816858241242890
Ulnicane, I., Knight, W., Leach, T., Stahl, B. C., & Wanjiku, W. G. (2021). Framing governance for a contested emerging technology: insights from AI policy. Policy and Society, 40(2), 158-177. https://doi.org/10.1080/14494035.2020.1855800
UNESCO. (2021). Recommendation on the ethics of artificial intelligence. Adopted at the 41st session of the General Conference of UNESCO, November 2021.
Wang, W., & Siau, K. (2018). Artificial intelligence: a study on governance, policies, and regulations.
Wodi, A. (2024). Artificial Intelligence (AI) Governance: An Overview. Available at SSRN 4840769. dx.doi.org/10.2139/ssrn.4840769
Wu, C., Zhang, H., & Carroll, J. M. (2024). AI governance in higher education: Case studies of guidance at big ten universities. arXiv preprint arXiv:2409.02017. https://doi.org/10.48550/arXiv.2409.02017.
Wu, Y., & Shan, S. (2021). Application of Artificial Intelligence to Social Governance Capabilities under Public Health Emergencies. Mathematical problems in engineering, 2021(1), 6630483. https://doi.org/10.1155/2021/6630483.
Xue, J. H. (2024). Polycentric theory diffusion and AI governance. In Global digital development (pp. 243-263).
Yeung, K. (2018). Algorithmic regulation: A critical interrogation. Regulation & Governance, 12(4), 505-523. https://doi.org/10.1111/rego.12158
Yigitcanlar, T., Agdas, D., & Degirmenci, K. (2022). Artificial intelligence in local governments: Perceptions of city managers on prospects, constraints and choices. Queensland University of Technology. https://doi.org/10.1007/s00146-022-01450-x.
Yigitcanlar, T., Agdas, D., & Degirmenci, K. (2023). Artificial intelligence in local governments: perceptions of city managers on prospects, constraints and choices. Ai & Society, 38(3), 1135-1150. https://doi.org/10.1007/s00146-022-01450-x.
Yigitcanlar, T., David, A., Li, W., Fookes, C., Bibri, S. E., & Ye, X. (2024). Unlocking artificial intelligence adoption in local governments: Best practice lessons from real-world implementations. Smart Cities, 7(4), 1576-1625. https://doi.org/10.3390/smartcities7040064.
Yigitcanlar, T., Senadheera, S., Marasinghe, R., Bibri, S. E., Sanchez, T. W., Cugurullo, F., & Sieber, R. (2024). The Local Government and Artificial Intelligence Nexus: A Five-Decade Scientometric Analysis on Evolution, State-of-The-Art, and Emerging Trends. State-of-The-Art, and Emerging Trends. https://doi.org/10.1016/j.cities.2024.105151.
Zaidi, S., & Dafoe, A. (2021). AI and arms control: Lessons and challenges for governing emerging technologies. (Report / working paper).
Zambonelli, F., Salim, F., Loke, S. W., De Meuter, W., & Kanhere, S. (2018). Algorithmic governance in smart cities: The conundrum and the potential of pervasive computing solutions. IEEE Technology and Society Magazine, 37(2), 80-87.