Globalno upravljanje u doba digitalnih rizika: kineska inicijativa za veštačku inteligenciju
Sažetak
U ovom radu se analiziraju novopredložene inicijative Kine u oblasti upravljanja veštačkom inteligencijom (VI) i razvoja digitalne infrastrukture, s fokusom na Globalnu inicijativu za upravljanje VI i Digitalni put svile. Kroz analizu političkih dokumenata, izjava vlade i postojeće literature, u radu se ispituju načini na koje se Kina pozicionira kao lider u upravljanju VI, istovremeno šireći svoj digitalni uticaj na globalnom nivou. Tvrdi se da dualni pristup Kine – promovisanje okvira za upravljanje VI i izgradnja digitalne infrastrukture u inostranstvu – omogućava Kini da oblikuje međunarodne norme i standarde u vezi sa novim tehnologijama. Ova strategija, međutim, pokreće zabrinutosti vezane za digitalni autoritarizam, tehnološku zavisnost i pitanja privatnosti. Ispitivanjem interakcije između kineskih domaćih i međunarodnih digitalnih politika, istraživanje doprinosi razumevanju geopolitičkih implikacija VI i digitalnih tehnologija.
Reference
Acemoglu, D. (2024). Automation and wage structure changes in the U.S. MIT Press.
Allen, Gregory C. (2019). Understanding China’s AI strategy: Clues to Chinese strategic thinking on artificial intelligence and national security. Available at: https://www.cnas.org/publications/reports/understanding-chinas-ai-strategy
Beck, U. (1992). Risk society: Towards a new modernity. London: Sage Publications.
China MFA (2024). AI Capacity-Building Action Plan for Good and for All. Available at: https://www.mfa.gov.cn/eng/wjbzhd/202409/t20240927_11498465.html
Council on Foreign Relations (2023). China’s Digital Silk Road Initiative. Available at: https:// www.cfr.org/china-digital-silk-road
European Parliament (2021). Chinas ambitions in artificial intelligence. Available at: https://www.europarl.europa.eu/RegData/etudes/ATAG/2021/696206/EPRS_ATA(2021)696206_EN.pdf
Feher, K. (2021). Digital identity and the online self: Footprint strategies-An exploratory and comparative research study. Journal of information science, 47 (2), 192-205. https://doi.org/10.1177/0165551519879702.
Gao, Y., Zhang, L. (2024). China’s regulatory crackdown on technology firms: Implications for foreign investment. Journal of Asian Economics, 75 (2), 102456.
Giddens, A. (2002). Runaway world: How globalisation is reshaping our lives. New York: Routledge.
Global Times (2024). China to launch AI Plus initiative to boost digital economy develop- ment. https://www.globaltimes.cn/page/202403/1308210.shtml.
Hu, X. (2024). 5G and AI: China’s role in the global tech landscape. International Telecommunications Journal, 19 (1), 56-73.
Istrate, R., Tulus, V., Grass, R. N., Vanbever, L., Stark, J. W, Guillen-Gosalbez, G. (2024). The environmental sustainability of digital content consumption. Nature Communications, 15 (1), 3724. https://doi.org/10.1038/s41467-024-47621-w.
Lawfare Institute (2023). Assessing U.S. data policy toward China: A proposed framework. Available at: https://www.lawfaremedia.org/article/assessing-u-s-data-policy-toward-china-a-proposed-framework
Li, X., Wang, J. (2023). The role of government in AI regulation: Insights from China’s digital economy. International Journal of Information Management, 63, 102456.
Liu, S., Zhang, R. (2024). Ethics and governance of AI in China: Current trends and future directions. AI &Society, 39 (1), 15-30.
Luhmann, N. (1993). Risk: A sociological theory. New York: Walter de Gruyter.
Mishra, N. C. (2024). From competition to cooperation: Can US-China engagement overcome geopolitical barriers in AI governance?. Tech Policy Press. Available at: https://www.techpolicy.press/from-competition-to-cooperation-can-uschina-engagement-over-come-geopolitical-barriers-in-ai-governance/.
Palowise (2024). Digital Footprint Statistics and Trends to Know for 2024. Available at: https://www.palowise.ai/blog/digital-footprint/digital-footprint-statistics/
Pew Research Center (2023). Views of the U.S. and China in 24 countries. Available at: https://www.pewresearch.org/global/2023/11/06/comparing-views-of-the-us-and-china-in-24-countries/
Sheehan, M. (2024). China’s Views on AI Safety Are Changing—Quickly. Carnegie Endowment for International Peace.
Stango, A. (2024). The geopolitical competition between China and the U.S. in new technol- ogies. Luiss School of Government Working Paper Series.
State Council (2017). Notice on the Development Plan of the New Generation of Artificial Intelligence. Beijing.
State Council (2023). Global AI Governance Initiative, Beijing: State Council of the PR China. Available at: www.beltandroadforum.org/english/n101/2023/1019/c127-1231.html
Sun, H., Liu, T. (2024). Balancing innovation and regulation: The case of AI in China. Technology in Society, 68, 802-839.
Wang, Y., Zhao, Q. (2023). Data privacy and security regulations in China’s AI landscape.b Journal of Data Protection &Privacy, 6 (2), 123-138.
Xi, J. (2023). Xi stresses high-quality development in China’s modernization endeavor. International Department of the CPC Central Committee. Available at: https://www.idcpc.gov.cn/english2023/ttxw/tttp/202307/t20230717_152783.html Xu, M., Jug, Ž., Tamo-Larrieux, A. (2024). A cross-cultural analysis of transparency: The interplay of law and privacy policies across jurisdictions. International Data Privacy Law, 14 (3), 197-222. https://doi.org/10.1093/idpl/ipae011.
Zhang, Y., Chen, L. (2022). Regulating artificial intelligence in China: A policy perspective. Journal of Cyber Policy, 7 (1), 45-68.
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