نوع مقاله : ترویجی
نویسندگان
1 دانشجوی کارشناسی ارشد مدیریت فناوری اطلاعات، دانشکده مدیریت و حسابداری، دانشکدگان فارابی، دانشگاه تهران، قم، ایران
2 استادیار دانشکده مدیریت و حسابداری، دانشگاه تهران (دانشکدگان فارابی)
3 استادیار دانشکده مدیریت، دانشگاه تهران، تهران، ایران
چکیده
کلیدواژه‌ها
عنوان مقاله [English]
نویسندگان [English]
Artificial intelligence is one of the emerging technologies that has recently changed the world dramatically. With the increase in the use of artificial intelligence in recent years, policymakers in different countries of the world, in order to further improve the conditions of use of this emerging technology, as well as to address its challenges and potential risks, have developed various policy programs.
Using a qualitative approach and content analysis method, in order to achieve the most important goals and policy tools considered during the selected documents of different countries, has extracted the key themes of the national artificial intelligence documents of six countries in this field between 2017 and 2021.
The findings have shown that 5 policy objectives and 7 policy instruments have been the most important issues that have been given special emphasis in the studied documents. The objectives of the extracted policy are: 1) achieving competitive advantage and economic growth, 2) promoting human capital and knowledge, 3) increasing social welfare and improving public services, 4) enhancing scientific capacity, and 5) improving technical and data infrastructure. Also, the policy tools identified during the research were as follows: 1) financing research and development, 2) regulating and developing standards, 3) culture and education, 4) consulting and acceleration services, 5) networking and ecosystem development, 6) Government procurement, and 7) Stimulating market demand.
The results of the review of national documents for the development of artificial intelligence indicate that the objectives of the development of artificial intelligence include various economic, political, social, and technical areas and in addition to economic benefits and welfare, consider ethical and security challenges surrounding the development of this technology. Regarding the policy instruments, balanced attention to the four categories of supply-side stimulation, demand-side stimulation, system-building relationships, and finally, legislation and regulation, can ensure the success of countries in the face of increasing development and diverse applications of artificial intelligence.
کلیدواژه‌ها [English]
Siau, K., & Wang, W. Building trust in artificial intelligence, machine learning, and robotics. Cutter Business Technology Journal. 2018; 31 (2), 47–53.
Launchbury , J., DARPA Perspective on AI. DARPA. 2017; Retrieved October 14, 2021.
Geist, E., & Lohn, A. J. Artificial Intelligence Nuclear War. 2018
Müller, V. C., & Bostrom, N. Future progress in artificial intelligence: A survey of expert opinion. In Fundamental issues of artificial intelligence. Springer, Cham. 2016; 555-572
Siau, K. Impact of artificial intelligence, robotics, and automation on higher education. 2017
Pecotic, A. Whoever predicts the future will win the AI Arms Race. 2019. Available at: Link
Hoadley, D. S., & Sayler, K. M., Artificial Intelligence and national security. Library of Congress. Congressional Research Service. 2019
McCarthy, J. What is artificial intelligence. 2007
National Security Commission On Artificial Intelligence. Act of 2018, S. 2806, 115th Cong. 2018
Howlett, M., & Rayner, J. Patching vs Packaging in Policy Formulation: Assessing Policy Portfolio Design. Politics and Governance. 2013; 1 (2): 170-182.
Clark, J., & Guy, K.. Innovation and competitiveness. Technopolis, Brighton. 1997
European commission. Annual Innovation Policy Trends and Appraisal Report For Turkey. A publication from the innovation/ SMEs Programmemme. 2013
Michael Howlett, Jeremy Rayner, Design Principles for Policy Mixes: Cohesion and Coherence in ‘New Governance Arrangements’. Policy and Society. 2007; 26 (4): 1-18.
Vedung, E. Four waves of evaluation diffusion. Evaluation. 2010; 16 (3): 263-277.
Edler, J., Gök, A., Cunningham, P., & Shapira, P. Introduction: Making sense of innovation policy. In Handbook of Innovation Policy Impact. Edward Elgar Publishing. 2016
Nasiri, H., & Radaei, N. Classification and Choice of Science, Technology and Innovation Policy Instruments. (Persian). Journal of Science & Technology Policy. 2019; 11 (2): 495-511.
Dafoe, A. AI governance: a research agenda. Governance of AI Program, Future of Humanity Institute, University of Oxford: Oxford, UK, 2018; 1442-1443.
Dutton, T. AI Policy 101: An Introduction to the 10 Key Aspects of AI Policy. 2018. Available at: Link
OECD. OECD Digital Economy Outlook 2020, OECD Publishing, 2020
OECD. Recommendation of the Council on Artificial Intelligence. 2019. Available at: Link
Mohseni Kiasari, M., Mohammadi, M., Jafarnejad, A., Garousi Mokhtarzadeh, N., Asadifard, R. Classification of Demand-based Innovation Policy Tools Using Meta-synthesis Approach. Innovation Management Journal, 2017; 6 (2): 109-138.
Hajihoseini, H., & Karimmian, Z. STI Policy Process and Its Governance. (Persian). Journal of Science & Technology Policy. 2019; 11 (2), 71-86.
OECD. OECD AI Policy Observatory. Link
OECD. Going Digital: Shaping Policies, Improving Lives, OECD Publishing, Paris, 2019.
Henning, E., Van Rensburg, W. & Smit, B. Finding your Way in Qualitative Research. Pretoria: Van Schaick. 2004.
United States Congress. H.R.6216 - National Artificial Intelligence Initiative Act of 2020. 2020. Available at: Link
New America. Full Translation: China's 'New Generation Artificial Intelligence Development Plan' .2017. Available at: Link
GOV.UK. National AI Strategy. 2021. Available at: Link
President of Russia. National Strategy for Artificial Intelligence Development. 2019. Available at: Link
IndiaAI.gov.National Strategy For Artificial Intelligence. 2019. Available at: Link
UAE Government .UAE National Strategy for Artificial Intelligence, 2031. 2018. Available at: Link
Braun, V. & Clarke, V. Using Thematic Analysis in Psychology. Qualitative Research in Psychology. 2006; 3, 2: 77-101.
Boyatzis, R. Transforming qualitative information: Thematic analysis and code development. Sage. 1998.
Kamali Y. Methodology of thematic analysis and its application in public policy studies. (Persian). Jppolicy. 2018; 4 (2): 198-218
Attride-Stirling, J. Thematic networks: an analytic tool for qualitative research. Qualitative Research. 2001; 1 (3): 385-405.
Jfgagne. Global AI Talent Report 2020. 2019. Available at: Link
Zhang, D et all. The AI Index 2021 Annual Report,” AI Index Steering Committee, Human-Centered AI Institute, Stanford University, Stanford. 2021
Cunningham, P., & Ramlogan, R. The impact of innovation networks. Handbook of Innovation Policy Impact, 2016; 279-317. Edward Elgar Publishing.
Necoechea-Mondragon, H., Pineda-Dominguez, D., Perez-Reveles, L., & Soto-Flores, R. Critical factors for participation in global innovation networks. Empirical evidence from the Mexican nanotechnology sector. Technological Forecasting and Social Change, 2017; 114, 293-312.
Radwan, S. and Sobeih, S., 2021. Egypt’s AI strategy is more about development than AI - OECD.AI. Oecd.ai. 2021. Available at: Link
Sarmah, H. 6 Countries That India Has Partnered On Artificial Intelligence. [online] Analytics India Magazine.2019. Available at: Link
Khaleej Times. UAE, Israel universities ink agreement to boost AI collaboration. 2020. Available at: Link
Eversden, A. A warning to DoD: Russia advances quicker than expected on AI, battlefield tech. C4ISR. 2021. Available at: Link
MBZUAI. MBZUAI and US-UAE Business Council explore AI partnerships in healthcare and beyond. 2021. Available at: Link
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