Financial Technology with AI-Enabled and Ethical Challenges

被引:0
|
作者
Muhammad Anshari
Mohammad Nabil Almunawar
Masairol Masri
Milan Hrdy
机构
[1] Universiti Brunei Darussalam (UBDSBE),School of Business and Economics
[2] Institute of Policy Studies UBD,Faculty of Finance and Accounting, Department of Corporate Finance and Valuation
[3] Prague University of Economics and Business,undefined
来源
Society | 2021年 / 58卷
关键词
Financial technology; Artificial intelligence; Business ethics; P2P lending;
D O I
暂无
中图分类号
学科分类号
摘要
Financial Technology (FinTech) has become a disruptive innovation. Being one form of FinTech financing, peer-to-peer (P2P) lending has been widely developed and has grown rapidly for the last few years. The main challenge for P2P lending is on managing risks. FinTech with artificial intelligence (AI) can be used as a strategic tool in mitigating risks for FinTech companies in assessing creditworthiness of a potential customer. However, AI-enabled assessment has created several ethical issues and dilemmas for the stakeholders in the industry. This paper aims to examine the ethical issues and dilemmas by deploying theories of consequentialism and deontology in assisting an ethical decision-making process. An AI-enabled risk assessment will automate processes in understanding potential applicants for P2P lending. The automation process can potentially mitigate any ethical shortcomings as well as the negative impacts in mining the potential customer’s data.
引用
收藏
页码:189 / 195
页数:6
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