Abstract
In the fast-paced technological change environment, Artificial Intelligence (AI) is among the fastest evolving policy areas. The opportunities promised by AI technologies are beyond the imaginations of scientists and innovators. Therefore the risk which may impose is not easy to predict. AI entails major challenges, such as gender and race biased discrimination, non-transparent nature of decision process or abuse of our privacy. Major developed and developing countries prepare AI national strategies to enhance national competitiveness and maintain national security, through policies enabling power in the international and technological competition. Large technology (platform) companies and governments are two major entities which have the big data. During Covid-19, governments and large technology companies work together on artificial intelligence enabled solutions to take immediate actions. As a side effect, this has accelerated the acceptance of digital transformation both in public and private sectors. In this paper, we have analyzed governments’ strategies and policies to foster AI enabled solutions, and proposed an approach to policymaking by identifying challenges and opportunities.
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References
Edelman, R.: Global report edelman trust barometer, online survey report, pp. 15. (2020)
Miller, H., Stirling, R.: Government Artificial Intelligence readiness index. Oxford Insights and the International Development Research Centre. (2019)
Madzou, L., Shukla, P.: A framework for developing a national Artificial Intelligence strategy, White Paper. World Economic Forum. (2019)
Le Masson, B.: Transforming public sector with AI, A Govtech Ecosystem Approach Report, pp. 5–7. Accenture (2019)
Lam, T., Li, F., Han, Z., Chung, R.: Global artificial intelligence industry whitepaper, pp. 33–36. Deloitte (2019)
Bughin, J., Hazan, E., Ramaswamy, S., Chui, M., Allas, T., Dahlström, P., Henke, N., Trench, M.: Artificial Intelligence: The next Frontier?, Discussion Paper, pp. 6–42. McKinsey Global Institute (2017)
The New Generation of Artificial Intelligence Development Plan: State Council, China. http://www.gov.cn (2017)
Villani, C.: For a meaningful artificial intelligence towards a French and European strategy, pp. 10–98. http://www.aiforhumanity.fr (2017)
Groth, J. O., Nitzberg, M., Zehr, D., Straube, T., Kaatz-Dubberke, T.: Comparison of national strategies to promote artificial intelligence, pp. 39–41. (2019)
The Israeli Innovation Authority: AI R&D framework and activities, OECD policy observatory information. http://www.oecd.ai (2018)
National Strategy for AI: Discussion Paper, pp. 6–91, NITI Aayog, Government of India. http://www.niti.gov.in (2018)
2023 Industry and Technology Strategy, pp. 73–77. Ministry of Industry and Technology, Turkey. http://www.sanayi.gov.tr (2019)
Shoham, Y., Perrault, R., Brynjolfsson, E., Clark, J., LeGassick, C.: Artificial Intelligence Index. Annual Report, Stanford Institute of Human-Centered Artificial Intelligence. (2019)
Nedelkoska, L., Quintini, G.: Automation, skills use and training. OECD Report, pp. 6–10. https://doi.org/10.1787/2e2f4eea-en (2018)
Policy Evidence and Analysis Team Office for National Statistics: Which occupations are at highest risk of being automated?, Office for National Statistics UK. http://www.ons.gov.uk (2019)
Singh, A., Korkmaz, B., Kendi, K., Cenudioğlu, C., Demirdağ, E., Dandona, G. S., Chui, M., Kokal, Ö., Tanrıkulu, Ö., Gökler, P.: Future of work, Turkey’s talent transformation in the digital era report, pp. 26–38. McKinsey & Company Turkey in cooperation with the McKinsey Global Institute (2020)
Vincent, J.: China and the US are battling to become the world’s first AI superpower. Article, The verge, August 3, 2017. http://theverge.com (2017)
AI Strategy 2019 AI for Everyone: People, Industries, Regions and Governments, Innovation Strategy Promotion Council, Japan. http://www.cao.go.jp (2019)
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Yerlikaya, S., Erzurumlu, Y.Ö. (2021). Artificial Intelligence in Public Sector: A Framework to Address Opportunities and Challenges. In: Hamdan, A., Hassanien, A.E., Razzaque, A., Alareeni, B. (eds) The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success. Studies in Computational Intelligence, vol 935. Springer, Cham. https://doi.org/10.1007/978-3-030-62796-6_11
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