Abstract
Despite the world becoming more interconnected than ever before, inequality and poverty continue to pose a threat to sustainable development. In response to these challenges, the United Nations Educational, Scientific and Cultural Organization (UNESCO) promotes Global Citizenship Education (GCED), which aims to instill values, attitudes, and behaviors in people so that they may consider the importance of responsible global citizenship – a concept that entails creativity, innovation, and dedication to peace, human rights, and sustainable development, among others. The GCED program raises the awareness of students of all ages to recognize that these issues are global in nature rather than localized and encourage them to participate actively in contributing to a peaceful, tolerant, inclusive, safe, and sustainable society. This research demonstrates how a user-friendly, low-code, human-centric probabilistic strategy can be utilized to democratize artificial intelligence (AI) usage, thus allowing analysts who are not computer scientists to use AI for social good. This reasoning approach can be useful in the predictive modeling of social issues that GCED is concerned with, which are demonstrated by the examples: (1) promoting global sustainable development, (2) alleviating malnutrition, (3) increasing financial inclusion for people who are underserved by traditional banking institutions, and (4) strengthening food security resilience.
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How, ML., Cheah, SM., Chan, Y.J., Khor, A.C., Say, E.M.P. (2023). Artificial Intelligence for Advancing Sustainable Development Goals (SDGs): An Inclusive Democratized Low-Code Approach. In: Mazzi, F., Floridi, L. (eds) The Ethics of Artificial Intelligence for the Sustainable Development Goals . Philosophical Studies Series, vol 152. Springer, Cham. https://doi.org/10.1007/978-3-031-21147-8_9
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