Artificial intelligence-enhanced predictive insights for advancing financial inclusion: A human-centric AI-thinking approach
According to the World Bank, a key factor to poverty reduction and improving prosperity is financial inclusion. Financial service providers (FSPs) offering financially-inclusive solutions need to understand how to approach the underserved successfully. The application of artificial intelligence (AI)...
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sg-smu-ink.lkcsb_research-77182021-05-25T06:14:58Z Artificial intelligence-enhanced predictive insights for advancing financial inclusion: A human-centric AI-thinking approach HOW, Meng Leong CHEAH, Sin Mei KHOR, Aik Cheow CHAN, Yong Jiet According to the World Bank, a key factor to poverty reduction and improving prosperity is financial inclusion. Financial service providers (FSPs) offering financially-inclusive solutions need to understand how to approach the underserved successfully. The application of artificial intelligence (AI) on legacy data can help FSPs to anticipate how prospective customers may respond when they are approached. However, it remains challenging for FSPs who are not well-versed in computer programming to implement AI projects. This paper proffers a no-coding human-centric AI-based approach to simulate the possible dynamics between the financial profiles of prospective customers collected from 45,211 contact encounters and predict their intentions toward the financial products being offered. This approach contributes to the literature by illustrating how AI for social good can also be accessible for people who are not well-versed in computer science. A rudimentary AI-based predictive modeling approach that does not require programming skills will be illustrated in this paper. In these AI-generated multi-criteria optimizations, analysts in FSPs can simulate scenarios to better understand their prospective customers. In conjunction with the usage of AI, this paper also suggests how AI-Thinking could be utilized as a cognitive scaffold for educing (drawing out) actionable insights to advance financial inclusion. 2020-04-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/6719 info:doi/10.3390/bdcc4020008 https://ink.library.smu.edu.sg/context/lkcsb_research/article/7718/viewcontent/BDCC_04_00008.pdf http://creativecommons.org/licenses/by/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Artificial intelligence Bayesian Explainable-AI Financial technology Fintech Human-centric Human-in-the-loop Marketing Predictive modeling AI for good AI-Thinking Artificial Intelligence and Robotics Finance and Financial Management Technology and Innovation |
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Artificial intelligence Bayesian Explainable-AI Financial technology Fintech Human-centric Human-in-the-loop Marketing Predictive modeling AI for good AI-Thinking Artificial Intelligence and Robotics Finance and Financial Management Technology and Innovation HOW, Meng Leong CHEAH, Sin Mei KHOR, Aik Cheow CHAN, Yong Jiet Artificial intelligence-enhanced predictive insights for advancing financial inclusion: A human-centric AI-thinking approach |
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According to the World Bank, a key factor to poverty reduction and improving prosperity is financial inclusion. Financial service providers (FSPs) offering financially-inclusive solutions need to understand how to approach the underserved successfully. The application of artificial intelligence (AI) on legacy data can help FSPs to anticipate how prospective customers may respond when they are approached. However, it remains challenging for FSPs who are not well-versed in computer programming to implement AI projects. This paper proffers a no-coding human-centric AI-based approach to simulate the possible dynamics between the financial profiles of prospective customers collected from 45,211 contact encounters and predict their intentions toward the financial products being offered. This approach contributes to the literature by illustrating how AI for social good can also be accessible for people who are not well-versed in computer science. A rudimentary AI-based predictive modeling approach that does not require programming skills will be illustrated in this paper. In these AI-generated multi-criteria optimizations, analysts in FSPs can simulate scenarios to better understand their prospective customers. In conjunction with the usage of AI, this paper also suggests how AI-Thinking could be utilized as a cognitive scaffold for educing (drawing out) actionable insights to advance financial inclusion. |
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HOW, Meng Leong CHEAH, Sin Mei KHOR, Aik Cheow CHAN, Yong Jiet |
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HOW, Meng Leong CHEAH, Sin Mei KHOR, Aik Cheow CHAN, Yong Jiet |
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HOW, Meng Leong |
title |
Artificial intelligence-enhanced predictive insights for advancing financial inclusion: A human-centric AI-thinking approach |
title_short |
Artificial intelligence-enhanced predictive insights for advancing financial inclusion: A human-centric AI-thinking approach |
title_full |
Artificial intelligence-enhanced predictive insights for advancing financial inclusion: A human-centric AI-thinking approach |
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Artificial intelligence-enhanced predictive insights for advancing financial inclusion: A human-centric AI-thinking approach |
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Artificial intelligence-enhanced predictive insights for advancing financial inclusion: A human-centric AI-thinking approach |
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artificial intelligence-enhanced predictive insights for advancing financial inclusion: a human-centric ai-thinking approach |
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Institutional Knowledge at Singapore Management University |
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2020 |
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https://ink.library.smu.edu.sg/lkcsb_research/6719 https://ink.library.smu.edu.sg/context/lkcsb_research/article/7718/viewcontent/BDCC_04_00008.pdf |
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