Artificial Intelligence, Regulatory Frameworks, And Human Rights: Rethinking Conflict Resolution in The Digital Era in West Pokot County, Kenya

Artificial Intelligence (AI) is increasingly recognized as a transformative tool in governance, peace building, and social development, particularly in conflict-prone regions such as West Pokot County, Kenya, where intercommunal clashes, cattle rustling, and cross-border disputes persist. This study investigates the integration of AI into conflict resolution while ensuring the protection of human rights under Kenya’s regulatory frameworks. The objectives were to examine the opportunities and risks associated with AI in peace building, evaluate the adequacy of existing legal and ethical safeguards, and propose models that balance technological innovation with community-driven conflict resolution strategies. A mixed-methods design was employed, engaging 60 purposively selected respondents, including government officials, community leaders, human rights activists, members of peace committees, and youth representatives. Data were collected through semi-structured interviews, focus group discussions, and document reviews of policy frameworks and human rights reports.

To strengthen the robustness of findings, both quantitative statistical analyses (descriptive statistics, cross-tabulations, Chi-square tests, and factor analysis) and qualitative thematic coding were employed. Results indicate that AI applications particularly predictive analytics, mobile-based early warning systems, digital mediation platforms, and resource-mapping tools hold significant potential to enhance conflict anticipation, coordination, and resolution. However, gaps in regulatory enforcement, algorithmic bias, digital exclusion of women and elderly populations, and infrastructural limitations constrain effective implementation. The study highlights a critical knowledge gap between global AI innovations and localized conflict management practices in marginalized regions.

Sustainable peace in West Pokot requires a hybrid governance model that integrates AI-driven tools with culturally grounded conflict resolution mechanisms, reinforced by robust human rights protections and inclusive leadership. Recommendations include strengthening Kenya’s AI-specific legal and ethical frameworks, investing in community-focused digital literacy, piloting scalable AI interventions, and establishing safeguards to prevent misuse in fragile contexts. By aligning technological innovation with community needs and ethical oversight, AI can become a complementary mechanism for building sustainable peace and resilience in conflict-affected areas.

Artificial intelligence, Conflict resolution, Digital peace building, Human rights

1. Adebayo, T. (2020). Predictive analytics and conflict prevention in Africa. African Security Review, 29(4), 315–329. https://doi.org/10.1080/10246029.2020.1820567 [Google Scholar] [Crossref]

2. Adom, D., Hussein, E. K., & Agyem, J. A. (2020). Theoretical and conceptual framework: Mandatory ingredients of a quality research. International Journal of Scientific Research, 7(1), 438–441. [Google Scholar] [Crossref]

3. African Union Commission. (2022). Continental strategy on artificial intelligence for Africa. Addis Ababa: African Union. [Google Scholar] [Crossref]

4. Bietti, E. (2020). From ethics washing to ethics bashing: A view on tech ethics from within moral philosophy. Minds and Machines, 30(4), 543–559. https://doi.org/10.1007/s11023-020-09536-2 [Google Scholar] [Crossref]

5. Bryson, J. (2021). The role of artificial intelligence in the public sector. Public Administration Review, 81(5), 745–757. [Google Scholar] [Crossref]

6. Crawford, K., & Calo, R. (2016). There is a blind spot in AI research. Nature, 538(7625), 311–313. https://doi.org/10.1038/538311a [Google Scholar] [Crossref]

7. Dignum, V. (2019). Responsible artificial intelligence: How to develop and use AI in a responsible way. Springer. [Google Scholar] [Crossref]

8. European Commission. (2021). Ethics guidelines for trustworthy AI. Brussels: European Commission. [Google Scholar] [Crossref]

9. Floridi, L., & Cowls, J. (2022). A unified framework of five principles for AI in society. Harvard Data Science Review, 4(1), 1–13. [Google Scholar] [Crossref]

10. Gwagwa, A., Kazim, E., Hilliard, A., Siminyu, K., & Smith, M. (2021). Artificial intelligence in Africa’s public sector: Opportunities, challenges and ethical implications. Data & Policy, 3(e12). [Google Scholar] [Crossref]

11. Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399. https://doi.org/10.1038/s42256-019-0088-2 [Google Scholar] [Crossref]

12. Kenya National Bureau of Statistics (KNBS). (2023). Statistical abstract 2023. Nairobi: Government of Kenya. [Google Scholar] [Crossref]

13. Kenya National Commission on Human Rights (KNCHR). (2023). Annual report on peace and security in Kenya. Nairobi: KNCHR. [Google Scholar] [Crossref]

14. Kihara, M. (2022). The role of data protection laws in Kenya’s digital governance. African Journal of Law and Technology, 5(2), 45–60. [Google Scholar] [Crossref]

15. Kshetri, N. (2021). Artificial intelligence in developing countries. Springer. [Google Scholar] [Crossref]

16. Lederach, J. P. (1997). Building peace: Sustainable reconciliation in divided societies. Washington, DC: U.S. Institute of Peace Press. [Google Scholar] [Crossref]

17. Mabunda, P., & Okafor, N. (2023). AI and peace: Opportunities for Africa’s digital transformation. Journal of Peace Innovation, 4(1), 22–37. [Google Scholar] [Crossref]

18. Mkutu, K. (2019). Pastoralist conflict and governance in Kenya. Routledge. [Google Scholar] [Crossref]

19. Mhlanga, D. (2023). Artificial intelligence in sub-Saharan Africa: Challenges and opportunities. Technology in Society, 75, 102238. [Google Scholar] [Crossref]

20. Mwangi, L. (2022). AI adoption and inclusive governance in Kenya. Journal of African Digital Policy, 2(1), 55–72. [Google Scholar] [Crossref]

21. Njoroge, S., Omolo, D., & Kariuki, P. (2023). Digital inclusion and peacebuilding in Kenya’s ASAL counties. East African Social Science Review, 9(2), 77–98. [Google Scholar] [Crossref]

22. Omar, H., & Abdi, A. (2022). AI governance in Sub-Saharan Africa: Challenges and pathways. Technology in Society, 70, 102001. [Google Scholar] [Crossref]

23. Rahwan, I. (2018). Society-in-the-loop: Programming the algorithmic social contract. Ethics and Information Technology, 20(1), 5–14. [Google Scholar] [Crossref]

24. Small Arms Survey. (2022). Pastoralist conflicts and armed violence in East Africa. Geneva: Graduate Institute of International and Development Studies. [Google Scholar] [Crossref]

25. Tadokoro, M. (2018). Japan’s human security approach in peacebuilding. Asian Perspective, 42(1), 5–27. [Google Scholar] [Crossref]

26. Tegmark, M. (2019). AI and future ethics: Balancing innovation with human values. AI & Society, 34(3), 553–561. [Google Scholar] [Crossref]

27. UNDP. (2022). Digital technologies and conflict prevention: Policy insights. New York: United Nations Development Programme. [Google Scholar] [Crossref]

28. UNESCO. (2021). Recommendation on the ethics of artificial intelligence. Paris: UNESCO. [Google Scholar] [Crossref]

29. UN Global Pulse. (2021). Harnessing big data for peace and humanitarian action. United Nations. [Google Scholar] [Crossref]

30. United Nations Office for Disarmament Affairs (UNODA). (2022). Artificial intelligence and peacebuilding: Emerging policy frontiers. New York: United Nations. [Google Scholar] [Crossref]

31. Weidinger, L., Mellor, J., & Gabriel, I. (2022). Ethical and social risks of artificial intelligence systems. Journal of Responsible Innovation, 9(1), 58–85 [Google Scholar] [Crossref]

• Predictive Health Monitoring Systems for Electric Vehicle Powertrains Using Edge AI and CAN Bus Data
• Internship Portals: A Systematic Review of Current Platforms and Future Directions
• Towards Better Urban Mobility: A Comprehensive Assessment of Pedestrian Infrastructure in Naval, Biliran Province, Philippines
• An Affordable and Sustainable Efficient Color Sorting System Using Arduino and TCS3200 Sensor
• Financial Stress and Mobility Patterns: Implication for Transportation Policy Among Jeepney Passengers