Artificial Intelligence and Machine Learning in the Non-Profit Sector: Opportunities, Challenges, and Applications
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-08
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About the Article
Artificial intelligence (AI) and machine learning (ML) are transforming the non-profit sector by enabling organizations to enhance program delivery, optimize resources, and strengthen donor engagement. From crop disease detection in India to anti-poaching strategies in Africa and personalized education platforms worldwide, AI demonstrates its capacity to address social and humanitarian challenges. This article explores applications across healthcare, agriculture, conservation, disaster response, education, refugee integration, and fundraising. Case studies highlight organizations such as Wadhwani AI, WWF, the Philippine Red Cross, Khan Academy, and the International Rescue Committee. While opportunities abound, challenges remain—data limitations, resource constraints, and ethical risks in sensitive contexts. The article argues that open-source tools, AI literacy, ethical safeguards, and cross-sector partnerships are critical to ensuring non-profits adopt AI responsibly and inclusively, maximizing their social impact.
Key Topics
- AI applications in healthcare, agriculture, education, and conservation
- Donor engagement and fundraising optimization
- Resource allocation and operational efficiency
- Monitoring, evaluation, and impact measurement
- Challenges and ethical considerations in AI adoption
- Strategies for responsible and inclusive implementation
Suggested Citation
Kazanskaia, A. N. (2025). Artificial Intelligence and Machine Learning in the Non-Profit Sector: Opportunities, Challenges, and Applications. NEYA Global Journal of Non-Profit Studies. Neya Global Publishing. https://doi.org/10.64357/neya-gjnps-ai-mch-lr-08
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