TY - JOUR
T1 - Modernizing the Charitable Sector through Artificial Intelligence: Enhancing Efficiency and Impact
T2 - Enhancing Efficiency and Impact
AU - Elamin, Mustafa Osman Ismail
N1 - Publisher Copyright:
© 2024, Creative Publishing House. All rights reserved.
PY - 2024/8/3
Y1 - 2024/8/3
N2 - The proposed research explores the transformative potential of artificial intelligence (AI) in modernizing the charitable sector. Initiative aims to address critical gaps in program delivery, resource allocation, and impact assessment, ultimately enhancing the efficiency and effectiveness of humanitarian aid. The study argues that AI can revolutionize disaster response by predicting natural disasters, improve educational outcomes through personalized learning platforms, and enhance public health monitoring by forecasting disease outbreaks. Furthermore, AI can optimize food distribution systems, reducing waste and ensuring timely delivery. The research also emphasizes the urgent need to develop a digital safety framework to protect children and youth from online risks, exacerbated by the rapid proliferation of digital technologies. The methodology includes comprehensive data collection from various sectors, followed by the development and testing of AI models tailored to specific needs, such as disaster prediction and personalized education. The study also involves stakeholder engagement to ensure the practical applicability and ethical implementation of AI solutions. Expected results include resource use, improved program impact, a safer digital environment for vulnerable populations. The project aims to set a precedent for the integration of AI in the charitable sector.
AB - The proposed research explores the transformative potential of artificial intelligence (AI) in modernizing the charitable sector. Initiative aims to address critical gaps in program delivery, resource allocation, and impact assessment, ultimately enhancing the efficiency and effectiveness of humanitarian aid. The study argues that AI can revolutionize disaster response by predicting natural disasters, improve educational outcomes through personalized learning platforms, and enhance public health monitoring by forecasting disease outbreaks. Furthermore, AI can optimize food distribution systems, reducing waste and ensuring timely delivery. The research also emphasizes the urgent need to develop a digital safety framework to protect children and youth from online risks, exacerbated by the rapid proliferation of digital technologies. The methodology includes comprehensive data collection from various sectors, followed by the development and testing of AI models tailored to specific needs, such as disaster prediction and personalized education. The study also involves stakeholder engagement to ensure the practical applicability and ethical implementation of AI solutions. Expected results include resource use, improved program impact, a safer digital environment for vulnerable populations. The project aims to set a precedent for the integration of AI in the charitable sector.
KW - Artificial Intelligence
KW - Charitable Sector
KW - Digital Safety
KW - Disaster Prediction
KW - Humanitarian Aid
KW - Resource Allocation
UR - http://www.scopus.com/inward/record.url?scp=85203089813&partnerID=8YFLogxK
U2 - 10.62754/joe.v3i4.3856
DO - 10.62754/joe.v3i4.3856
M3 - Article
SN - 2752-6798
VL - 3
SP - 3426
EP - 3443
JO - Journal of Ecohumanism
JF - Journal of Ecohumanism
IS - 4
ER -