Building Trust in Fintech: An Analysis of Ethical and Privacy Considerations in the Intersection of Big Data, AI, and Customer Trust

被引:23
作者
Aldboush, Hassan H. H. [1 ]
Ferdous, Marah [2 ]
机构
[1] Philadelphia Univ, Fac Business, Dept Finance & Banking, Amman 19392, Jordan
[2] Princess Sumaya Univ, Sch Business Technol, Financial Technol & Accounting Analyt, POB 1438, Amman 11941, Jordan
来源
INTERNATIONAL JOURNAL OF FINANCIAL STUDIES | 2023年 / 11卷 / 03期
关键词
fintech; big-data analytics; artificial intelligence (AI); data security and privacy; corporate digital responsibility (CDR); customer trust; ethical considerations; BANKING;
D O I
10.3390/ijfs11030090
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This research paper explores the ethical considerations in using financial technology (fintech), focusing on big data, artificial intelligence (AI), and privacy. Using a systematic literature-review methodology, the study identifies ethical and privacy issues related to fintech, including bias, discrimination, privacy, transparency, justice, ownership, and control. The findings emphasize the importance of safeguarding customer data, complying with data protection laws, and promoting corporate digital responsibility. The study provides practical suggestions for companies, including the use of encryption techniques, transparency regarding data collection and usage, the provision of customer opt-out options, and the training of staff on data-protection policies. However, the study is limited by its exclusion of non-English-language studies and the need for additional resources to deepen the findings. To overcome these limitations, future research could expand existing knowledge and collect more comprehensive data to better understand the complex issues examined.
引用
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页数:18
相关论文
共 40 条
  • [1] Review of security issues in Internet of Things and artificial intelligence-driven solutions
    Abed, Ali Kamil
    Anupam, Angesh
    [J]. SECURITY AND PRIVACY, 2023, 6 (03)
  • [2] Customer data security and theft: a Malaysian organization's experience
    Abidin, Mohd Aizuddin Zainal
    Nawawi, Anuar
    Salin, Ahmad Saiful Azlin Puteh
    [J]. INFORMATION AND COMPUTER SECURITY, 2019, 27 (01) : 81 - 100
  • [3] Artificial intelligence and fintech: An overview of opportunities and risks for banking, investments, and microfinance
    Ashta, Arvind
    Herrmann, Heinz
    [J]. STRATEGIC CHANGE-BRIEFINGS IN ENTREPRENEURIAL FINANCE, 2021, 30 (03): : 211 - 222
  • [4] Understanding online information disclosure: examination of data breach victimization experience effect
    Ayaburi, Emmanuel W.
    [J]. INFORMATION TECHNOLOGY & PEOPLE, 2023, 36 (01) : 95 - 114
  • [5] How Corporate Reputation Disclosures Affect Stakeholders' Behavioral Intentions: Mediating Mechanisms of Perceived Organizational Performance and Corporate Reputation
    Baumgartner, Kim T.
    Ernst, Carolin A.
    Fischer, Thomas M.
    [J]. JOURNAL OF BUSINESS ETHICS, 2022, 175 (02) : 361 - 389
  • [6] Data usage-based privacy and security issues in mobile app recommendation (MAR): a systematic literature review
    Beg, Saira
    Khan, Saif Ur Rehman
    Anjum, Adeel
    [J]. LIBRARY HI TECH, 2022, 40 (03) : 725 - 749
  • [7] Risk and risk management in the credit card industry
    Butaru, Florentin
    Chen, Qingqing
    Clark, Brian
    Das, Sanmay
    Lo, Andrew W.
    Siddique, Akhtar
    [J]. JOURNAL OF BANKING & FINANCE, 2016, 72 : 218 - 239
  • [8] Castellanos Pfeiffer R. A., 2019, Mkt.& Competition L.Rev., V3, P53
  • [9] Artificial intelligence and systemic risk
    Danielsson, Jon
    Macrae, Robert
    Uthemann, Andreas
    [J]. JOURNAL OF BANKING & FINANCE, 2022, 140
  • [10] Dixon-Woods Mary., 2011, Medical Education, V45, P332