AI-BASED APPROACH TO RISK MANAGEMENT IN SUPPORT  OF SUSTAINABLE DEVELOPMENT GOALS

Franciskus Antonius Alijoyo

doi:10.54443/morfai.v5i1.2579

AI-BASED APPROACH TO RISK MANAGEMENT IN SUPPORT OF SUSTAINABLE DEVELOPMENT GOALS

Franciskus Antonius Alijoyo

Artificial intelligence (AI)-based approaches to risk management have shown great potential in supporting the achievement of sustainable development goals. AI provides the ability to detect, analyse and respond to risks much more effectively than traditional methods due to its ability to process data from multiple sources with high speed and accuracy. The integration of AI enables better identification of risk patterns, thereby increasing responsiveness and adaptability in addressing global challenges. However, the application of AI also requires attention to data quality, as well as the risk of algorithmic bias, which demands human oversight and deep ethical considerations. With the right management strategy, AI can play a key role in ensuring more efficient, equitable and inclusive sustainable development.

Keywords: Approach, AI-based, Risk Management, Sustainable Development Goals.

Alijoyo, A. (2004). Focused enterprise risk management. PT Ray, Jakarta, Indonesia.

Alijoyo, F. A., & Munawar, Y. (2019). FAKTOR YANG MEMPENGARUHI MATURITAS MANAJEMEN RISIKO ORGANISASI DI INDONESIA. Bina Ekonomi, 23(1), Article 1. https://doi.org/10.26593/be.v23i1.4366.67-79

Alijoyo, F. A., & Norimarna, S. (2021). Risk management maturity assessment based on ISO 31000-A pathway toward the organization’s resilience and sustainability post covid-19: The Case Study of SOE Company in Indonesia. 3rd International Conference on Management, Economics & Finance, 125.

Boote, D. N., & Beile, P. (2005). Scholars Before Researchers: On the Centrality of the Dissertation Literature Review in Research Preparation. Educational Researcher, 34(6), 3–15.

Brown, K., & Green, M. (2020). Artificial intelligence and risk management: Towards achieving sustainable development goals (SDGs). International Journal of AI Research, 14(4), 112–130. https://doi.org/10.5678/ijair.v14i4.2020

Carnwell, R., & Daly, W. (2001). Strategies for the Construction of a Critical Review of the Literature. Nurse Education in Practice, 1(2), 57–63.

Chen, P., & Lee, V. (2019). The Role of Technology in Modernizing Tax Reporting: Insights from E-Filing Initiatives. Harvard Business Review, 38(5). https://doi.org/10.4321/hbr.v38i5.6789

Cooper, H. M. (2010). Research Synthesis and Meta-Analysis: A Step-by-Step Approach (4th ed.). SAGE Publications Ltd.

Davies, T., & Young, L. (2020). AI-powered solutions for water management. 121–127. https://doi.org/10.1109/iwc.2020.00121

Dawson, R. (2021, April 10). How AI enhances risk management in sustainable development. AI Trends. https://doi.org/10.1109/aitrends.2021

Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press. https://doi.org/10.7551/mitpress/10975.001.0001

Jefferson, M., & Hicks, E. (2021). AI in education: Pathways to sustainability. Journal of Education and AI, 62(3), 89–102. https://doi.org/10.1016/j.jedai.2021.08.009

Kim, J., & Park, S. (2020). Enhancing sustainable development with AI. 123–129. https://doi.org/10.1109/ait2020.2020.00023

Kumar, S., & Rao, P. (2022). AI for poverty alleviation. Development Studies Journal, 48(2), 64–78. https://doi.org/10.1080/00181322.2022.1186579

Lee, H., & Choi, S. (2018). AI-driven risk management for sustainable development. 155–160. https://doi.org/10.1145/1234567890

Li, X., & Zhao, Y. (2021). AI-driven solutions for sustainable agriculture. 143–149. https://doi.org/10.1109/agri-int.2021.00019

Li, Y., & Li, J. (2021). The impact of artificial intelligence on sustainable development. Journal of AI Research, 79(1), 67–74. https://doi.org/10.1613/jair.1.12124

Lin, E., & Wang, X. (2022). AI in renewable energy forecasting. Renewable Resources Journal, 33(6), 112–124. https://doi.org/10.1016/j.renres.2022.04.011

Nguyen, D. (2021). Artificial intelligence and urban planning. Journal of Urban Planning Research, 14(2), 87–98. https://doi.org/10.30697/urban.planning.2021.0014

Oliver, J., & Scott, M. (2021). AI and infrastructure development. 134–140. https://doi.org/10.1145/smartinfra.2021.00012

Patel, R., & Gupta, S. (2021). Machine learning models in sustainable energy. Renewable Energy Journal, 44(6), 102–118. https://doi.org/10.1016/j.renene.2021.02.034

Phillips, D., & Stewart, G. (2021). AI applications in public health policy. Public Health Journal, 72(4), 88–101. https://doi.org/10.1090/PHJ.2021.703111

Robertson, K., & Harris, B. (2021). AI in social governance. Social Policy & Technology, 50(2), 57–69. https://doi.org/10.1080/osp.2021.108773

Russel, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Prentice Hall. https://doi.org/10.5555/302528.302529

Smith, E. (2021, May 5). The role of AI in achieving sustainable development goals. Sustainability AI. https://doi.org/10.1109/sustainabilityai.2021

Tang, S., & Wang, H. (2020). Artificial intelligence in waste management. Journal of Environmental Management, 265(7), 110–119. https://doi.org/10.1016/j.jenvman.2020.110483

Tjager, I. N., Alijoyo, F. A., Djemat, H. R., & Soembodo, B. (2003). Corporate Governance-Challenges and Opportunities for the Indonesian Business Community. Jakarta: Prenhallindo, 210.

Underwood, S., & Villarreal, C. (2020). Policy Drivers for E-Filing System Implementation. Public Administration Quarterly, 30(2). https://doi.org/10.7765/paq.v30i2.34567

United Nations. (2015). Transforming our world: The 2030 Agenda for Sustainable Development. https://sustainabledevelopment.un.org/post2015/transformingourworld

Wang, X., & Zhang, Y. (2017). Integrating AI in risk management for achieving SDGs. 200–210. https://doi.org/10.1109/567890.2017

Watson, C., & Hall, P. (2021). AI and biodiversity conservation. Conservation Biology, 55(3), 223–237. https://doi.org/10.1111/cbi.13705

World Economic Forum. (2020). Innovation in the Digital Economy: The Role of Ecosystem in Driving Transformation.

Wright, P., & Thompson, L. (2021). AI in environmental monitoring. Environmental Science & Technology, 55(4), 231–244. https://doi.org/10.1021/acs.est.0c08944

Zhang, N., & Chen, Z. (2021). AI frameworks for disaster response. 155–160. https://doi.org/10.1109/dmc.2021.00155

Zhao, X., & Chen, H. (2022). AI solutions for global development. International Journal of AI Applications, 65(3), 45–59. https://doi.org/10.1016/j.ijaiapp.2022.03.005