Document Type : Original Article
Author
Assistant Professor, Islamic Sciences and Culture Academy, Qom, Iran. alimirarab@isca.ac.ir
Abstract
Keywords
Sheikh al-Islami, K. (2019). An introduction to AI governance. Political Studies (Fundamental Governance Group). Tehran: Islamic Parliament Research Center. [In Persian]
Mohammadi, M., Kakavandi, Y., Sharifian, A., & Mohammadi, B. (2020). Trends in AI governance. Tehran: Danesh Bonyan Fanavar. [In Persian]
Ala-Pietilä, P., & Smuha, N. A. (2021). A framework for global cooperation on artificial intelligence and its governance. Reflections on Artificial Intelligence for Humanity, pp. 237-265.
Borgogno, O., & Colangelo, G. (2019). Data sharing and interoperability: Fostering innovation and competition through APIs. Computer Law & Security Review, 35(5), 105314.
Borrás, S., & Edler, J. (Eds.). (2014). The governance of socio-technical systems: explaining change. Edward Elgar Publishing.
Bresnahan, T. F., & Trajtenberg, M. (1995). General purpose technologies ‘engines of growth’? Journal of Econometrics, 65(1), pp. 83–108. https://doi.org/10.1016/0304-4076(94)01598-T.
Carabantes, M. (2020). Black-box artificial intelligence: an epistemological and critical analysis. AI & Soc, 35, pp. 309–317. https://doi.org/10.1007/s00146-019-00888–w
Cath, C., Wachter, S., Mittelstadt, B., Taddeo, M., & Floridi, L. (2018). Artificial intelligence and the ‘good society’: The US, EU, and UK approach. Science and Engineering Ethics, 24, pp. 505-528.
Chhotray, V., & Stoker, G. (2009). Governance theory and practice: A cross-disciplinary approach. London: Palgrave Macmillan.
Cihon, P., Maas, M. M., & Kemp, L. (2020). Fragmentation and the future: Investigating architectures for international AI governance. Global Policy, 11(5), pp. 545–556.
Cotra, A. (2020). Draft report on AI timelines. LessWrong. Retrieved from: https://www.lesswrong.com/posts/KrJfoZzpSDpnrv9va/draft-report-on-ai-timelines.
Dafoe, A. (2018). AI governance: A research agenda. Future of Humanity Institute. Oxford, UK: University of Oxford.
De Saille, S. (2015). Innovating innovation policy: The emergence of ‘Responsible Research and Innovation’. Journal of Responsible Innovation, 2(2), pp. 152-168.
Dignum, V. (2019). Responsible artificial intelligence: How to develop and use AI in a responsible way (Vol. 1). Cham: Springer.
Ding, J., & Dafoe, A. (2021, June). Engines of power: Electricity, AI, and general-purpose military transformations. arXiv.
European Commission. (2018a). Artificial intelligence for Europe. Communication COM(2018) 237. Brussels: European Commission.
European Commission. (2018b). Artificial intelligence: A European perspective. Luxembourg: Publications Office of the European Union.
Fernandez-Cortez, V., Valle-Cruz, D., & Gil-Garcia, J. R. (2020). Can artificial intelligence help optimize the public budgeting process? Lessons about smartness and public value from the Mexican federal government. 2020 Seventh International Conference on EDemocracy & EGovernment (ICEDEG), 312–315. https://doi.org/10.1109/ICEDEG48599.2020.9096745.
Galanos, V. (2019). Exploring expanding expertise: Artificial intelligence as an existential threat and the role of prestigious commentators, 2014–2018. Technology Analysis & Strategic Management, 31(4), pp. 421-432.
Garfinkel, B. (2022). The impact of artificial intelligence: A historical perspective. In J. Bullock (Ed.), 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), pp. 58–62.
Gritsenko, D., & Wood, M. (2020). Algorithmic governance: A modes of governance approach. Regulation & Governance, 6(1), pp. 45–62.
Guihot, M., Matthew, A. F., & Suzor, N. P. (2017). Nudging robots: Innovative solutions to regulate artificial intelligence. Vand. J. Ent. & Tech. L, 20, 385.
Hemphill, T. A. (2016). Regulating nanomaterials: A case for hybrid governance. Bulletin of Science, Technology & Society, 36(4), pp. 219–228.
Janssen, M., Brous, P., Estevez, E., Barbosa, L. S., & Janowski, T. (2020). Data governance: Organising data for trustworthy artificial intelligence. Government Information Quarterly, 37(3), 101493.
Katzenbach, C., & Ulbricht, L. (2019). Algorithmic governance. Internet Policy Review, 8(4), 1–18.
Kuhlmann, S., Stegmaier, P., & Konrad, K. (2019). The tentative governance of emerging science and technology—A conceptual introduction. Research Policy, 48(5), pp. 1091-1097.
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.
Lee, K. F. (2018). AI superpowers: China, Silicon Valley, and the new world order. Houghton Mifflin.
Li, Y., Taeihagh, A., De Jong, M., & Klinke, A. (2021). Toward a commonly shared public policy perspective for analysing risk coping strategies. Risk Analysis, 41(3), pp. 519–532. https://doi.org/10.1111/risa.13505
Mazzucato, M. (2021). Mission economy: A moonshot guide to changing capitalism. London: Allen Lane.
Mikhaylov, S. J., Esteve, M., & Campion, A. (2018). Artificial intelligence for the public sector: Opportunities and challenges of cross-sector collaboration. Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences, 376(2128).
North, D. C. (1991). Institutions. Journal of Economic Perspectives, 5(1), pp. 97–112. http://www.jstor.org/stable/1942704.
Rabesandratana, T. (2018). Emmanuel Macron wants France to become a leader in AI and avoid ‘dystopia.’ Science, 30. https://doi.org/10.1126/science.aat7491
Rahwan, I. (2018). Society-in-the-loop: Programming the algorithmic social contract. Ethics and Information Technology, 20(1), pp. 5–14.
Schwab, K. (2017). The fourth industrial revolution. Crown Currency.
Somers, J. (2017, April). Torching the modern-day library of Alexandria. The Atlantic. https://www.theatlantic.com/technology/archive/2017/04/the-tragedy-of-google-books/523320/
Stilgoe, J., Owen, R., & Macnaghten, P. (2020). Developing a framework for responsible innovation. In The Ethics of Nanotechnology, Geoengineering, and Clean Energy (pp. 347-359). Routledge.
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), pp. 368-383.
Taeihagh, A., & Lim, H. S. M. (2019). Governing autonomous vehicles: Emerging responses for safety, liability, privacy, cybersecurity, and and industry risks. Transport reviews, 39(1), pp. 103-128.
Taeihagh, A., Ramesh, M., & Howlett, M. (2021). Assessing the regulatory challenges of emerging disruptive technologies. Regulation & Governance. https://doi.org/10.1111/rego.12392
Valle-Cruz, D., Criado, J. I., Sandoval-Almazán, R., & Ruvalcaba-Gomez, E. A. (2020). Assessing the public policy-cycle framework in the age of artificial intelligence: From agenda-setting to policy evaluation. Government Information Quarterly, 37(4).
Valle-Cruz, D., Criado, J. I., Sandoval-Almazán, R., & Ruvalcaba-Gomez, E. A. (2020). Assessing the public policy-cycle framework in the age of artificial intelligence: From agenda-setting to policy evaluation. Government Information Quarterly, 37(4), 101509.
World Economic Forum. (2018, January 25). Theresa May’s Davos address in full. Retrieved from https://www.weforum.org/agenda/2018/01/theresa-may-davos-address/
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), pp. 818–829.
Young, M. M., Bullock, J. B., & Lecy, J. D. (2019). Artificial discretion as a tool of governance: A framework for understanding the impact of artificial intelligence on public administration. Perspectives on Public Management and Governance, 2(4), pp. 301–313.