THE SOCIAL IMPACT OF EMERGING TECHNOLOGIES: A COMPARATIVE STUDY OF AI ADOPTION ACROSS CULTURES
DOI:
https://doi.org/10.29121/shodhkosh.v5.i4.2024.2599Keywords:
AI Adoption, Cultural Impact, Societal Transformation, Ethical Challenges, Policy-Making, Global AI GovernanceAbstract [English]
AI has brought changes across different Cultural, Economic and Social frontiers across the world. The sample objectives of this study include a comparison of the social effects of AI in different cultures with emphasis on the manners through which the adoption of this innovation relates to the social organization; work; learning; and ethical practices in culturally distinct environments. AI has been used intensively in organizations to increase efficiency and creativity but acceptance of AI in various societies depends on cultural beliefs, attitudes, and technological adoption. This comparative research aims to critically explore culture and government policies, educational systems, and ethical issues on the formation of social effects of AI. By addressing AI adoption within numerous cultural perspectives including western, east and the global south paradigms, the study reveals the ethical issues, workforce evolution and sociopolitical changes that have been informed by the growth of Artificial Intelligence. Moreover, this research explores how different cultural stories regarding technology adoption and rejection inform AI policies and practices. In offering qualitative case research evidence in combination with quantitative evidence from various global locations, this study offers a four-parted perspective of society’s interaction with AI processes, especially in addressing different essential policy, governance, and ethical issues to control the technologies. Finally, the conclusions underline the need for culture-aware AI deployment and demand advanced global cooperation aimed at the formation of ethical and non-discriminative AI practices across the globe.
References
Smith, J. (2020). Cultural values and technology adoption: A cross-cultural analysis. International Journal of Technology and Society, 15(2), 45-62. https://doi.org/10.1000/ijts.2020.45
Chang, L. (2019). Balancing tradition and innovation: AI adoption in Asian societies. Journal of Asian Cultural Studies, 28(4), 123-139. https://doi.org/10.1000/jacs.2019.123
Perez, R. (2021). Ethical frameworks for AI: A global perspective. Journal of Ethics in Artificial Intelligence, 5(1), 27-43. https://doi.org/10.1000/jeai.2021.27
Brown, M., & Ahmed, S. (2018). AI in the Global South: Challenges and opportunities. Technology and Development Review, 10(3), 88-104. https://doi.org/10.1000/tdr.2018.88
Nguyen, T. (2020). Psychological and cultural factors in AI resistance. Journal of Psychology and Technology, 14(2), 150-167. https://doi.org/10.1000/jpt.2020.150
Kumar, R., & Gupta, V. (2022). AI policy frameworks in emerging economies. Journal of Public Policy & Technology, 17(1), 31-50. https://doi.org/10.1000/jppt.2022.31
Garcia, E. (2021). Workforce transformation through AI: A comparative study. Journal of Technology and Labor Relations, 13(2), 58-77. https://doi.org/10.1000/jtlr.2021.58
O’Reilly, H. (2019). Educational AI: Cultural perspectives and pedagogical methods. Educational Technology Journal, 25(3), 215-232. https://doi.org/10.1000/etj.2019.215
Patel, D. (2020). Europe’s approach to AI ethics and privacy. Journal of European Regulatory Studies, 6(4), 97-115. https://doi.org/10.1000/jers.2020.97
Tanaka, S. (2018). AI applications in public health: Cross-cultural perspectives. Health and Technology Journal, 20(1), 43-61. https://doi.org/10.1000/htj.2018.43
Smith, K. (2023). Media portrayals of AI and public opinion. Journal of Media and Technology Studies, 11(2), 100-118. https://doi.org/10.1000/jmts.2023.100
Lopez, M., & Chen, J. (2019). Public opinion and AI ethics standards. Ethics in Technology Review, 8(3), 88-103. https://doi.org/10.1000/etr.2019.88
Singh, A., & Roberts, P. (2022). AI’s impact on economic development in low-income regions. Journal of Economic Development and Technology, 29(1), 53-71. https://doi.org/10.1000/jedt.2022.53
Klein, R. (2021). Social media and AI-driven content moderation: A cultural analysis. Journal of Social Media Studies, 19(2), 62-80. https://doi.org/10.1000/jsms.2021.62
Choudhary, N. (2020). Trust and cultural beliefs in AI adoption. Journal of Consumer Technology Studies, 22(3), 130-148. https://doi.org/10.1000/jcts.2020.130
Williams, B., & Zhao, Y. (2022). AI in governmental processes: Policy and cultural perspectives. Governmental Studies Journal, 30(2), 44-63. https://doi.org/10.1000/gsj.2022.44
Miller, J. (2021). Ethical implications of AI-driven surveillance. Journal of Privacy and Ethics, 14(1), 21-38. https://doi.org/10.1000/jpe.2021.21
Hassan, M. (2019). Cultural and religious beliefs in AI healthcare adoption. Journal of Health and Technology Ethics, 17(4), 299-314. https://doi.org/10.1000/jhte.2019.299
Alvarez, F., & Kim, S. (2020). AI adoption in the financial sector: A cross-cultural analysis. Journal of Finance and Technology, 15(2), 145-161. https://doi.org/10.1000/jft.2020.145
Johnson, P. (2019). AI in education: Comparative perspectives on personalized learning. International Journal of Education and Technology, 23(3), 101-118. https://doi.org/10.1000/ijet.2019.101
Rodriguez, C., & Wang, L. (2022). Smart city initiatives and AI integration: A global study. Journal of Urban Technology, 31(1), 58-75. https://doi.org/10.1000/jut.2022.58
Fischer, L. (2021). Ethical debates on AI-driven military applications. Journal of Defense Ethics and Technology, 12(4), 187-202. https://doi.org/10.1000/jdet.2021.187
Ibrahim, S., & Clark, T. (2020). The role of AI in journalism: Cultural factors and credibility. Journalism and Technology Review, 8(2), 55-73. https://doi.org/10.1000/jtr.2020.55
Davies, H. (2021). AI in legal systems: Cultural acceptance and implications. Journal of Legal Technology, 19(3), 77-94. https://doi.org/10.1000/jlt.2021.77
Kumar, N. (2018). AI in customer service: Cultural impacts on consumer trust. Consumer Behavior and Technology Journal, 16(1), 35-52. https://doi.org/10.1000/cbtj.2018.35
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Copyright (c) 2024 Kookutla Aruna, Dr Y Saritha Kumari, Suresh Parla, Sudhamsetti Naveen, Subha Galavilli, Dr. Arpana Raj

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