Artificial intelligence-enhanced decision support for informing global sustainable development: A human-centric AI-Thinking approach

• Main Authors: HOW, Meng-Leong, CHEAH, Sin Mei, CHAN, Yong-Jiet, KHOR, Aik Cheow, SAY, Eunice Mei Ping
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: artificial intelligence; decision making support; sustainability; environmental performance index; Bayesian; predictive modeling; human-centric; human-in-the-loop; AI-Thinking; explainable-AI; AI for good; Artificial Intelligence and Robotics; Environmental Policy; Environmental Studies; Place and Environment
• Online Access: https://ink.library.smu.edu.sg/cmp_research/22; https://ink.library.smu.edu.sg/context/cmp_research/article/1021/viewcontent/information_AI_decision_pvoa_cc_by.pdf
• Institution: Singapore Management University

Sustainable development is crucial to humanity. Utilization of primary socio-environmental data for analysis is essential for informing decision making by policy makers about sustainability in development. Artificial intelligence (AI)-based approaches are useful for analyzing data. However, it was n...