Overcoming Challenges in Artificial Intelligence Implementation in Non-Profits
Author: Dr. Anna Neya Kazanskaia
Publisher: NEYA Global Publishing
Article | NEYA Global Journal of Non-Profit Studies
Year: 2025
ORCID: https://orcid.org/0009-0009-5669-1676
DOI: https://doi.org/10.64357/neya-gjnps-ai-mch-lr-09
This material forms part of the NEYA Global knowledge architecture. Institutional, organizational, professional, training, consulting, curriculum, program design, or implementation use requires an active license from NEYA Global
Explore Architecture →
Module Overview →
Request Institutional Access →
About the Article
Artificial intelligence (AI) and machine learning (ML) present non-profits with opportunities to enhance efficiency, decision-making, and social impact. Yet, adoption in low-resource environments is challenged by data scarcity, weak infrastructure, financial and skills constraints, ethical risks, and organizational resistance to change. This article critically examines these barriers and explores strategies to overcome them, including cloud platforms, open-source frameworks, partnerships, staff training, and structured change management. Case studies from healthcare, disaster response, education, and humanitarian logistics illustrate how AI can deliver value even with limited resources. Ethical principles such as fairness, transparency, and stakeholder engagement are emphasized as central to sustainable adoption. By integrating technical solutions with organizational readiness and continuous learning, non-profits can unlock AI’s potential while safeguarding equity and trust.
Key Topics
- Barriers to AI adoption in non-profits
- Data quality and availability challenges
- Infrastructure, financial, and skills constraints
- Change management frameworks for adoption
- Ethical risks and responsible governance
- Strategies for sustainable implementation
Suggested Citation
Kazanskaia, A. N. (2025). Overcoming Challenges in Artificial Intelligence Implementation in Non-Profits. NEYA Global Journal of Non-Profit Studies. Neya Global Publishing. https://doi.org/10.64357/neya-gjnps-ai-mch-lr-09
References
| Brynjolfsson, E., & McAfee, A. (2017). Machine, platform, crowd: Harnessing our digital future. W. W. Norton & Company. | ||||
| Chui, M., Manyika, J., & Miremadi, M. (2018). Notes from the AI frontier: Insights from hundreds of use cases. McKinsey Global Institute. | ||||
| Hiatt, J. M. (2006). ADKAR: A model for change in business, government, and our community. Prosci. | ||||
| Kazanskaia, A. N. (2025). AI and Machine Learning. NEYA Global Publishing. https://doi.org/10.64357/ai-and-machine-learning-2025 | ||||
| Kazanskaia, A. N. (2025). Guide to Digital Transformation. NEYA Global Publishing. https://doi.org/10.64357/guide-to-digital-transformation-2025 | ||||
| Kazanskaia, A. N. (2025). Technology for Global Impact. NEYA Global Publishing. https://doi.org/10.64357/technology-global-impact-2025 | ||||
| Kazanskaia, A. N. (2025). Cybersecurity Essentials. NEYA Global Publishing. https://doi.org/10.64357/cybersecurity-essentials-2025 | ||||
| Kazanskaia, A. N. (2025). Implementing Artificial Intelligence and Machine Learning: Strategies, Tools, and Best Practices. NEYA Global Journal of Non-Profit Studies. https://doi.org/10.64357/neya-gjnps-ai-mch-lr-06 | ||||
| Kazanskaia, A. N. (2025). Artificial Intelligence and Machine Learning in Contemporary Organizational Practice. NEYA Global Journal of Non-Profit Studies. https://doi.org/10.64357/neya-gjnps-ai-mch-lr-01 | ||||
| Kotter, J. P. (1996). Leading change. Harvard Business Review Press. | ||||
| Smith, G., & Neupane, S. (2018). Artificial intelligence and human development: Toward a research agenda. International Development Research Centre. | ||||
| Taddeo, M., & Floridi, L. (2018). How AI can be a force for good. Science, 361(6404), 751-752. https://doi.org/10.1126/science.aat5991 | ||||
