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The Potential of Artificial Intelligence in Reshaping Community Work in Saudi Arabia: A Comparative Analysis

by Fatima Ali Al-Khamisi, Layan Thunayyan, Al- Thunayyan, Shema Majed Al-Mtairi, Nouf Saad Alharbi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 31
Year of Publication: 2025
Authors: Fatima Ali Al-Khamisi, Layan Thunayyan, Al- Thunayyan, Shema Majed Al-Mtairi, Nouf Saad Alharbi
10.5120/ijca2025925544

Fatima Ali Al-Khamisi, Layan Thunayyan, Al- Thunayyan, Shema Majed Al-Mtairi, Nouf Saad Alharbi . The Potential of Artificial Intelligence in Reshaping Community Work in Saudi Arabia: A Comparative Analysis. International Journal of Computer Applications. 187, 31 ( Aug 2025), 36-43. DOI=10.5120/ijca2025925544

@article{ 10.5120/ijca2025925544,
author = { Fatima Ali Al-Khamisi, Layan Thunayyan, Al- Thunayyan, Shema Majed Al-Mtairi, Nouf Saad Alharbi },
title = { The Potential of Artificial Intelligence in Reshaping Community Work in Saudi Arabia: A Comparative Analysis },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2025 },
volume = { 187 },
number = { 31 },
month = { Aug },
year = { 2025 },
issn = { 0975-8887 },
pages = { 36-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number31/the-potential-of-artificial-intelligence-in-reshaping-community-work-in-saudi-arabia-a-comparative-analysis/ },
doi = { 10.5120/ijca2025925544 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-08-20T21:35:20.629957+05:30
%A Fatima Ali Al-Khamisi
%A Layan Thunayyan, Al- Thunayyan
%A Shema Majed Al-Mtairi
%A Nouf Saad Alharbi
%T The Potential of Artificial Intelligence in Reshaping Community Work in Saudi Arabia: A Comparative Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 31
%P 36-43
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This comparative study explores how artificial intelligence (AI) can transform community work in Saudi Arabia. Based on an evaluation of the status of community services—healthcare, care for the elderly, disabled, and children—the research identifies areas where AI can make a significant difference in efficiency, effectiveness, and accessibility. The study also examines the expected benefits and drawbacks of adopting AI in such sectors, including key issues such as ethical concerns, privacy of data, and social opposition to technological change. Based on comparative methodology, relying on cross-national experiences of AI adoption under comparable conditions, the study guides how to avoid emerging challenges and maximize the role of AI under the Saudi conditions. Finally, the insights presented are hoped to inform a more strategic, evidence-led approach to AI adoption in the Kingdom's community services sector.

References
  1. Al Saiari, S. M. H., Samudin, S. A. B., Samah, M., & Murshed, A. A. M. M. (2025). Advancements in Artificial Intelligence in Saudi Arabia: A Critical Analysis of Current Realities and Future Prospects. International Journal of Academic Research in Business and Social Sciences, 15(2), 1–25.
  2. Mutambik, I. (2024). The use of AI-driven automation to enhance student learning experiences in the KSA: An alternative pathway to sustainable education. King Saud University Journal of E Learning, 5(1), 15–34.
  3. Muafa, A. M., Al Obadi, S. H., Al Saleem, N. A. I., Taweili, A. A., & Al Amri, A. G. (2024). The impact of artificial intelligence application on the digital transformation of healthcare delivery in Riyadh, Saudi Arabia (Opportunities and challenges in alignment with Vision 2030). Academic Journal of Research and Scientific Publishing, 12(3), 77–98.
  4. Harris, L. (2024). The future of hybrid cloud solutions and AI resource optimization. ResearchGate. https://www.researchgate.net/publication/385288080_The_Future_of_Hybrid_Cloud_Solutions_and_AI_Resource_Optimization
  5. Almalki, M., Alkhamis, M. A., Khairallah, F. M., & Choukou, M.-A. (2025). Perceived artificial intelligence readiness in medical and health sciences education: A survey study of students in Saudi Arabia. BMC Medical Education, 25, Article 439. https://doi.org/10.1186/s12909-025-06995-1
  6. Aleisa, M. A., Beloff, N., & White, M. (2023). AI and data-driven recruitment in the Saudi labor market: AIRM model implementation. Journal of Innovation and Entrepreneurship, 12, Article 59. https://doi.org/10.1186/s13731-023-00324-w
  7. Bendary, M. G., & Rajadurai, J. (2024). Emerging technologies and public innovation in the Saudi public sector: An analysis of adoption and challenges amidst Vision 2030. Journal of Public Sector Innovation, 8(1), 45–62.
  8. Sessa, F., Esposito, M., Cocimano, G., Salerno, M., Pomara, C., & Zamboni, P. (2024). Artificial intelligence and criminal genetics: Current applications and future prospects. Applied Sciences, 14(4), 2113. https://doi.org/10.3390/app14042113
  9. Liang, H., Tsui, B. Y., Ni, H., Valentim, C. C., Baxter, S. L., Liu, G., ... & Cai, W. (2019). Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence. Nature Medicine, 25(3), 433–438. https://doi.org/10.1038/s41591-018-0335-9
  10. Al-Hyari, H. S., Al-Smadi, H. M., & Weshah, S. R. (2023). The impact of artificial intelligence (AI) on guest satisfaction in hotel management: An empirical study of luxury hotels. GeoJournal of Tourism and Geosites, 48(2spl), 810–819. https://doi.org/10.30892/gtg.482spl15-1081
  11. Zimik, A. S. S., & Barman, A. (2024). Next dynamics in designing artificial intelligence to support tourism development. International Journal of Engineering Technologies and Management Research, 11(6), 44–57. https://doi.org/10.29121/ijetmr.v11.16.2024.1465
  12. Be My Eyes. (n.d.). Be My Eyes – See the world together. https://www.bemyeyes.com/
  13. Microsoft. (n.d.). Seeing AI – Talking camera app for the blind community. Microsoft. https://www.microsoft.com/en-us/ai/seeing-ai
  14. Google. (n.d.-b). Lookout – Assisted vision. Google Play Store. https://play.google.com/store/apps/details?id=com.google.android.apps.accessibility.reveal
  15. OrCam Technologies. (n.d.). OrCam MyEye – Wearable assistive technology device. OrCam. https://www.orcam.com/en/myeye/
  16. AVA Accessibility. (n.d.). AVA: Real-time captions for deaf and hard of hearing. AVA. https://www.ava.me/
  17. Rogervoice. (n.d.). Rogervoice: Real-time captions for phone calls. https://rogervoice.com/en/
  18. Google. (n.d.-a). Live Transcribe & Sound Notifications. Google Play Store. https://play.google.com/store/apps/details?id=com.google.audio.hearing.visualization.accessibility.scribe
  19. Human Resources Development Fund (HRDF). (n.d.-a). Taqat platform. https://www.taqat.sa/
  20. Human Resources Development Fund (HRDF). (n.d.-b). Mowaamah program – Accessibility certification for businesses. https://hrdf.org.sa/Program/10168
  21. Healthcare Asia. (2024, April 3). Saudi Arabia launches Jam AI to improve elderly and women’s healthcare. https://healthcareasiamagazine.com/healthcare/news/saudi-arabia-launches-jam-ai-improve-elderly-and-womens-healthcare
  22. Shahzad, B., Wang, B., Ghulam, A., & Rehman, M. H. (2024). A review of artificial intelligence chatbots in advancing older adults’ health literacy and management. PeerJ Computer Science, 10, e2773. https://peerj.com/articles/cs-2773
  23. Mekaaz. (2023). How wearable tech redefines elderly independence. https://mekaaz.com/how-wearable-tech-redefine-elderly-indpendence
  24. Wikipedia. (2023a). Home automation for the elderly and disabled. https://en.wikipedia.org/wiki/Home_automation_for_the_elderly_and_disabled
  25. Wikipedia. (2023b). Socially assistive robot. https://en.wikipedia.org/wiki/Socially_assistive_robot
  26. Martin, J., & Janowski, K. (2021). The best assistive technology for dyslexics. WIRED. https://www.wired.com/story/the-best-assistive-technology-dyslexia
  27. Speechify. (2025). Wikipedia. https://en.wikipedia.org/wiki/Speechify
  28. Podpečan, V. (2023). Can you dance? A study of child–robot interaction and emotional response using the NAO robot. Multimodal Technologies and Interaction, 7(9), 85. https://doi.org/10.3390/mti7090085
  29. Rossi, S., Santini, S. J., Di Genova, D., Maggi, G., Verrotti, A., Farello, G., ... & Balsano, C. (2022). Using the social robot NAO for emotional support to children at a pediatric emergency department: Randomized clinical trial. Journal of Medical Internet Research, 24(1), e29656. https://doi.org/10.2196/29656
  30. Lee, J., Kim, H., & Park, S. (2022). Understanding emotions in children with developmental disabilities during robot therapy using EDA. Sensors, 22(14), 5116. https://doi.org/10.3390/s22145116
  31. Think with Google. (n.d.). How a Saudi Arabian charity used AI to run an impactful campaign for orphans. https://www.thinkwithgoogle.com/intl/en-emea/marketing-strategies/automation/saudi-arabia-charity-ai-powered-campaign-for-orphans
  32. My.gov.sa. (n.d.). Orphan sponsorship service. https://my.gov.sa/en/services/20900
  33. Arab News. (2024, January 27). Saudi orphan builds ‘Muntijuh’ platform to empower communities. https://www.arabnews.com/node/2441571
  34. A. Alghamdi, N. Alharbi, and H. Alyami, “Digital Health Transformation in Saudi Arabia: Role of AI Technologies in Managing COVID-19,” *J. Health Inform. Dev. Ctries.*, vol. 16, no. 1, pp. 22–31, 2022.
  35. M. Alshahrani and A. Alenezi, “AI and the Future of Social Services in Saudi Arabia: Policy, Practice, and Ethics,” *Middle East J. Social Innov.*, vol. 4, no. 3, pp. 50–66, 2023.
  36. S. Al-Fadhli, “Artificial Intelligence Ethics and Equity in GCC Social Systems,” *Gulf J. Policy Soc.*, vol. 5, no. 2, pp. 110–124, 2023.
  37. Kingdom of Saudi Arabia, “Vision 2030,” 2016. [Online]. Available: https://vision2030.gov.sa
  38. World Government Summit, “Artificial Intelligence in the UAE: A Governance Approach,” Dubai, UAE, 2022.
  39. M. Alshahrani and A. Alenezi, “AI and the Future of Social Services in Saudi Arabia: Policy, Practice, and Ethics,” Middle East Journal of Social Innovation, vol. 4, no. 3, pp. 50–66, 2023.
  40. A. Alghamdi, N. Alharbi, and H. Alyami, “Digital Health Transformation in Saudi Arabia: Role of AI Technologies in Managing COVID-19,” Journal of Health Informatics in Developing Countries, vol. 16, no. 1, pp. 22–31, 2022.
  41. Qatar Ministry of Communications and Information Technology, “Qatar National AI Strategy,” Doha, Qatar, 2022.
  42. Bahrain Economic Development Board, “AI Strategy and Digital Transformation in Bahrain,” Manama, Bahrain, 2023.
  43. S. Al-Fadhli, “Artificial Intelligence Ethics and Equity in GCC Social Systems,” Gulf Journal of Policy and Society, vol. 5, no. 2, pp. 110–124, 2023.
  44. Kuwait Central Agency for Information Technology, “Kuwait National Artificial Intelligence Strategy 2023,” Kuwait City, Kuwait, 2023. [Online]. Available: https://www.cait.gov.kw
  45. Compiled from: Vision 2030, UAE Centennial Plan, Qatar MCIT (2022), Oman Digital Economy Program, Bahrain EDB (2023), and regional academic publications 1–4
Index Terms

Computer Science
Information Sciences

Keywords

AI community work comparative analysis. Saudi Arabia reshaping