AI for Social Good: A Review of Applications in Disaster Response, Poverty Alleviation, and Public Health

Sokha Lim, Vannak Chan, Sreypich Heng

Abstract


Artificial Intelligence (AI) has emerged as a transformative technology with the potential to address some of the most pressing challenges facing humanity. This article provides a comprehensive review of AI applications in three critical areas of social good: disaster response, poverty alleviation, and public health. By examining case studies, technological advancements, and ethical considerations, this research highlights the potential of AI to drive positive social impact while addressing the limitations and risks associated with its deployment. The article concludes with recommendations for policymakers, researchers, and practitioners to harness AI responsibly for the betterment of society.

Full Text:

PDF

References


P. Buchholz, A. Schumacher, and S. Al Barazi, “Big data analyses for real-time tracking of risks in the mineral raw material markets: implications for improved supply chain risk management,” Miner. Econ., vol. 35, no. 3–4, pp. 701–744, Dec. 2022.

A. Poom, O. Järv, M. Zook, and T. Toivonen, “COVID-19 is spatial: Ensuring that mobile Big Data is used for social good,” Big Data Soc., vol. 7, no. 2, p. 2053951720952088, Jul. 2020.

V. O. K. Li, J. C. K. Lam, and J. Cui, “AI for social good: AI and big data approaches for environmental decision-making,” Environ. Sci. Policy, vol. 125, pp. 241–246, Nov. 2021.

J. G. C. Ramírez, “Integrating AI and NISQ technologies for enhanced mobile network optimization,” QJETI, vol. 5, no. 1, pp. 11–22, Jan. 2020.

J. G. C. Ramírez, M. Hassan, and M. Kamal, “Applications of artificial intelligence models for computational flow dynamics and droplet microfluidics,” JSTIP, vol. 6, no. 12, Dec. 2022.

J. G. C. Ramírez, “Quantum control and gate optimization in graphane-based quantum systems,” J. Appl. Math. Mech., vol. 4, no. 1, pp. 69–79, Oct. 2020.

V. Ramamoorthi, “Optimizing Cloud Load Forecasting with a CNN-BiLSTM Hybrid Model,” International Journal of Intelligent Automation and Computing, vol. 5, no. 2, pp. 79–91, Nov. 2022.

H. R. Roth et al., “Rapid artificial intelligence solutions in a pandemic - the COVID-19-20 Lung CT Lesion Segmentation Challenge,” Res. Sq., Jun. 2021.

National Poverty Alleviation Education Center and Poverty Alleviation Office of the State Council, Research on frontline issues in poverty alleviation. Royal Collins Publishing Company, 2021.

A. Arslan, C. Cooper, Z. Khan, I. Golgeci, and I. Ali, “Artificial intelligence and human workers interaction at team level: a conceptual assessment of the challenges and potential HRM strategies,” Int. J. Manpow., vol. ahead-of-print, no. ahead-of-print, Jul. 2021.

J. G. C. Ramírez, “Vibration analysis with AI: Physics-informed neural network approach for vortex-induced vibration,” Int. J. Radiat. Appl. Instrum. C Radiat. Phys. Chem., vol. 11, no. 3, Mar. 2021.

J. G. C. Ramírez, “The role of graphene in advancing quantum computing technologies,” Annu. Rep. - Aust. Inst. Criminol., vol. 4, no. 1, pp. 62–77, Feb. 2021.

T. Islam, Microcredit and poverty alleviation. London, England: Routledge, 2024.

J. G. C. Ramírez, “Enhancing temporal quantum coherence in graphene-based superconducting circuits,” International Journal of Applied Machine Learning and Computational Intelligence, vol. 11, no. 12, Dec. 2021.

V. Ramamoorthi, “Real-Time Adaptive Orchestration of AI Microservices in Dynamic Edge Computing,” Journal of Advanced Computing Systems, vol. 3, no. 3, pp. 1–9, Mar. 2023.

V. Ramamoorthi, “Anomaly detection and automated mitigation for microservices security with AI,” ARAIC, vol. 7, no. 6, pp. 211–222, Jun. 2024.

A. B. Bhatt and J. Bae, “Collaborative Intelligence to catalyze the digital transformation of healthcare,” NPJ Digit. Med., vol. 6, no. 1, p. 177, Sep. 2023.

F. Ofli et al., “Combining human computing and machine learning to make sense of big (aerial) data for disaster response,” Big Data, vol. 4, no. 1, pp. 47–59, Mar. 2016.

J. G. C. Ramírez, “Struggling Small Business in the US. The next challenge to economic recovery,” IJBIBDA, vol. 5, no. 1, pp. 81–91, Feb. 2022.

H. Renner, H. R. Schöler, and J. M. Bruder, “Combining automated organoid workflows with artificial intelligence-based analyses: Opportunities to build a new generation of interdisciplinary high-throughput screens for Parkinson’s disease and beyond,” Mov. Disord., vol. 36, no. 12, pp. 2745–2762, Dec. 2021.

J. G. C. Ramirez, “Comprehensive exploration of the CR model: A systemic approach to Strategic Planning,” International Journal of Culture and Education, vol. 1, no. 3, Aug. 2023.

K. K. R. Yanamala, “Transparency, privacy, and accountability in AI-enhanced HR processes,” Journal of Advanced Computing Systems, vol. 3, no. 3, pp. 10–18, Mar. 2023.

C. Yang, G. Su, and J. Chen, “Using big data to enhance crisis response and disaster resilience for a smart city,” 2017 IEEE 2nd International, 2017.

S. Wang, Poverty alleviation and targeted measures. Cham, Switzerland: Springer Nature, 2025.

J. G. C. Ramírez, “Incorporating Information Architecture (ia), Enterprise Engineering (ee) and Artificial Intelligence (ai) to Improve Business Plans for Small Businesses in the United States,” Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), vol. 2, no. 1, pp. 115–127, 2023.

Federal State Educational Budgetary Institution of Higher Education “Plekhanov Russian University of Economics”, Moscow, Russia, A. I. Borodin, N. A. Prodanova, Federal State Educational Budgetary Institution of Higher Education “Plekhanov Russian University of Economics”, Moscow, Russia, O. V. Pshenichny, and Federal State Educational Budgetary Institution of Higher Education “Plekhanov Russian University of Economics”, Moscow, Russia, “The essence of ESG projects, the specifics of risks and profitability,” Accounting in Healthcare, no. 8, pp. 41–51, Aug. 2024.

V. Ramamoorthi, “Applications of AI in Cloud Computing: Transforming Industries and Future Opportunities,” International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 9, no. 4, pp. 472–483, Aug. 2023.

N. Dickmann, Artificial intelligence. Kidhaven Publishing, 2023.

Federal State Budgetary Educational Institution of Higher Education “Russian Economic University named after G.V. Plekhanov”, Moscow, Russia and L. A. Tchaikovskaya, “Intellectual property in the healthcare sector and the most important trends in the development of its accounting,” Accounting in Healthcare, no. 6, pp. 17–26, Jun. 2024.

J. G. C. Ramirez, “How Mobile Applications can improve Small Business Development,” ERST, vol. 7, no. 1, pp. 291–305, Nov. 2023.

J. G. C. Ramirez, “From Autonomy to Accountability: Envisioning AI’s Legal Personhood,” ARAIC, vol. 6, no. 9, pp. 1–16, Sep. 2023.

V. Ramamoorthi, “Exploring AI-Driven Cloud-Edge Orchestration for IoT Applications,” 2023.

J. G. C. Ramírez and M. Kamal, “Theoretical exploration of two-dimensional materials for quantum computing applications,” JICET, vol. 8, no. 4, pp. 45–57, Nov. 2023.

J. G. C. Ramírez and M. Kamal, “Graphene plasmonics for enhanced quantum information processing,” AIFIR, vol. 13, no. 11, pp. 18–25, Nov. 2023.


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.