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AI Research and Outlook of Social Science Perspective

Yinqing Xu
International Journal of Computer Science and Information Technology, (2026), Vol.8, No.1, pp.76-82
Published: January 11, 2026
DOI: 10.62051/ijcsit.v8n1.08
PDF: Download Full Text PDF
Abstract

AI has permeated into many social fields with its fast development. Meanwhile, it has a deep impact on society, economy and culture. AI's applications improve industry efficiency and change the relationship among the labor market, social behavior mode, human being and technology. At the same time, ethical and social concerns such as data privacy, algorithm fairness come out of AI's development. This study is aimed to discuss AI's application in social science and the following challenges and opportunities. First of all, this study introduces basic concepts of AI and technical development. Secondly, this study discusses AI's impact on social structure and ethic of AI decision-making. Thirdly, this study discusses how to use AI to do distinct research in social science. Finally, this study puts forward ethical and legal concerns in AI development, and suggests facilitating AI rational development through interdisciplinary collaboration. This study simultaneously proposes recommendations for policymakers to implement effective AI policies in sectors such as education, employment, and social welfare, to make sure that the benefits of AI technology are fairly and fully shared. This study also indicates increasing AI research from the perspective of social sciences and technological sciences, blending theory, pursue and investigate closely about AI ethics, so as to offer regulation guidance and support theory.

Keywords: Artificial Intelligence, Social Sciences, Social Structure, Ethical concerns
APA Citation: Yinqing Xu (2026). AI Research and Outlook of Social Science Perspective. International Journal of Computer Science and Information Technology, 8(1), 76-82. https://doi.org/10.62051/ijcsit.v8n1.08

References

  1. Arees, Z. A. (2023). The social impact of artificial intelligence. In Encyclopedia of Data Science and Machine Learning. IGI Global.
  2. Bainbridge, W. S., Brent, E. E., & Carley, K. M. (1994). Artificial social intelligence. Annual Review of Sociology, 20, 333-365. https://doi.org/10.1146/annurev.so.20.080194.002203
  3. Baum, S. D., & Xie, C. (2021). Paradoxes of artificial intelligence in consumer markets: Ethical challenges and opportunities. Journal of Business Research. https://www.sciencedirect.com/science/article/pii/S0148296320305312
  4. Bokhari, S. A., & Myeong, S. (2022). Use of artificial intelligence in smart cities for smart decision-making: A social innovation perspective. Sustainability, 14(2), 620. https://www.mdpi.com/2071-1050/14/2/620Calzada, I. (2024). Artificial intelligence for social innovation: Beyond the noise of algorithms and datafication. Sustainability, 16(19), 8638. https://www.mdpi.com/2071-1050/16/19/8638
  5. Chaturvedi, A. (2023). Defining legal responsibility in the age of AI: Addressing gaps in data privacy regulation. Indian Journal of Integrated Research & Law. https://heinonline.org/hol-cgi-bin/get_pdf.cgi?handle=hein.journals/injloitd4&section=128
  6. Chen, X., Xie, H., & Tao, X. (2022). Vision, status, and research topics of Natural Language Processing. Natural Language Processing Journal. https://www.sciencedirect.com/science/article/pii/S2949719122000012
  7. Dritsas, E., & Trigka, M. (2025). Machine learning and data science in social sciences: Methods, applications, and future directions. IEEE Access. https://ieeexplore.ieee.org/abstract/document/11031403/
  8. Gerdon, F., Bach, R. L., Kern, C., & Kreuter, F. (2022). Social impacts of algorithmic decision-making: A research agenda for the social sciences. Big Data & Society. https://journals.sagepub.com/doi/pdf/10.1177/20539517221089305
  9. Goyanes, M., Lopezosa, C., & Piñeiro-Naval, V. (2025). The use of artificial intelligence (AI) in research: A review of author guidelines in leading journals across eight social science disciplines. Scientometrics. https://link.springer.com/article/10.1007/s11192-025-05377-0
  10. Gracea, I., & Okohb, O. F. (2022). The impact of artificial intelligence on labor markets and wage inequality: A computational economic perspective. ResearchGate. https://www.researchgate.net/publication/394102386
  11. Gu, Y., & Wang, Y. (2025). The impact of artificial intelligence on labor market income inequality. International Journal of Advanced Science. https://jandoopress.com/journal/ijas/article/view/169
  12. Gupta, S., Modgil, S., Bhattacharyya, S., & Bose, I. (2022). Artificial intelligence for decision support systems in the field of operations research: Review and future scope of research. Annals of Operations Research. https://link.springer.com/article/10.1007/s10479-020-03856-6
  13. Gursoy, F., & Kakadiaris, I. A. (2023). Artificial intelligence research strategy of the United States: Critical assessment and policy recommendations. Frontiers in Big Data. https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2023.1206139/full
  14. Katyal, S. K. (2019). Private accountability in the age of artificial intelligence. UCLA Law Review, 66, 6. https://heinonline.org/hol-cgi-bin/get_pdf.cgi?handle=hein.journals/uclalr66&section=6
  15. Khurana, D., Koli, A., Khatter, K., & Singh, S. (2023). Natural language processing: State of the art, current trends and challenges. Multimedia Tools and Applications, 63(2), 123-145. https://link.springer.com/article/10.1007/s11042-022-13428-4
  16. Kim, E., Jang, G. Y., & Kim, S. H. (2022). How to apply artificial intelligence for social innovations. Applied Artificial Intelligence. https://www.tandfonline.com/doi/pdf/10.1080/08839514.2022.2031819
  17. Kusters, R., Misevic, D., Berry, H., Cully, A., & Le Cunff, Y. (2020). Interdisciplinary research in artificial intelligence: Challenges and opportunities. Frontiers in Big Data. https://www.frontiersin.org/articles/10.3389/fdata.2020.577974/full
  18. Ligo, A. K., Rand, K., Bassett, J., & Galaitsi, S. E. (2021). Comparing the emergence of technical and social sciences research in artificial intelligence. Frontiers in Computer Science, 653235. https://www.frontiersin.org/articles/10.3389/fcomp.2021.653235/full
  19. Lorian, N. (2025). The role of AI in social science research. LatIA. https://www.sid.ir/fileserver/se/308-1814-en-1489103.s.pdf
  20. Mahajan, S. (2023). Artificial intelligence and its impacts on society. Contemporary Social Sciences. https://jndmeerut.org/wp-content/uploads/2024/01/10-6.pdf
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