Blockchain for Ethical and Transparent Generative AI Utilization by Banking and Finance Lawyers

被引:0
作者
Sachan, Swati [1 ]
Dezem, Vinicius [2 ]
Fickett, Dale [3 ]
机构
[1] Univ Liverpool, Management Sch, Financial Technol, Liverpool L69 7ZH, Merseyside, England
[2] Univ Fed Santa Catarina, Knowledge Engn, Florianopolis, SC, Brazil
[3] Univ Richmond, Robins Sch Business, Richmond, VA 23173 USA
来源
EXPLAINABLE ARTIFICIAL INTELLIGENCE, PT III, XAI 2024 | 2024年 / 2155卷
关键词
Generative AI; Explainable AI; Blockchain; Banking; Law;
D O I
10.1007/978-3-031-63800-8_16
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Generative AI tools powered by Large Language Models (LLMs) have attracted significant attention from the banking, finance, legal, and technology sectors due to their ability to generate and articulate coherent human-like text and images. Legal firms have raised ethical concerns regarding LLM's ability to emulate legal reasoning, accountability of erroneous outcomes, and security and privacy of confidential legal data. To address these challenges, this research paper proposes a blockchain-based monitoring framework that ensures the responsible and secure application of Generative AI in drafting legal decisions by utilizing the anonymized output from an existing eXplainable Artificial Intelligence (XAI) algorithm within a law firm, which assists in legal decision-making. The lawyers are expected to comprehend explainable algorithmic decisions expressed in terms of probabilities and feature importance instead of textual explanations. The immutability and decentralization of blockchain technology form the basis of a transparent and tamper-proof record-keeping system. It ensures consistent and tamper-resistant responses by generative AI, which has been used by lawyers in the past. A case study on data security and tort liability claims on banking data breaches is presented to demonstrate the practical application.
引用
收藏
页码:319 / 333
页数:15
相关论文
共 47 条
  • [1] Blockchain-based auditing of legal decisions supported by explainable AI and generative AI tools
    Sachan, Swati
    Liu , Xi
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 129
  • [2] ENHANCING TRUST IN DIGITAL FINANCE: BLOCKCHAIN AND AI FOR SECURE AND TRANSPARENT FINTECH SOLUTIONS
    Luckyardi, Senny
    Fahrezi, Muhamad
    Soegoto, Eddy Soeryanto
    JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY, 2025, 20 (03): : 723 - 738
  • [3] Blockchain in banking and finance: A bibliometric review
    Patel, Ritesh
    Migliavacca, Milena
    Oriani, Marco E.
    RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2022, 62
  • [4] Enabling Demonstrated Consent for Biobanking with Blockchain and Generative AI
    Barnes, Caspar
    Aboy, Mateo Riobo
    Minssen, Timo
    Allen, Jemima Winifred
    Earp, Brian D.
    Savulescu, Julian
    Mann, Sebastian Porsdam
    AMERICAN JOURNAL OF BIOETHICS, 2025, 25 (04) : 96 - 111
  • [5] Generative AI, IoT, and blockchain in healthcare: application, issues, and solutions
    Tehseen Mazhar
    Sunawar khan
    Tariq Shahzad
    Muhammad Amir khan
    Mamoon M. Saeed
    Joseph Bamidele Awotunde
    Habib Hamam
    Discover Internet of Things, 5 (1):
  • [6] Generative AI and the Metaverse: A Scoping Review of Ethical and Legal Challenges
    Tabassum, Aliya
    Elmahjub, Ezieddin
    Padela, Aasim I.
    Zwitter, Andrej
    Qadir, Junaid
    IEEE OPEN JOURNAL OF THE COMPUTER SOCIETY, 2025, 6 : 348 - 359
  • [7] Generative AI for Finance: Applications, Case Studies and Challenges
    Sai, Siva
    Arunakar, Keya
    Chamola, Vinay
    Hussain, Amir
    Bisht, Pranav
    Kumar, Sanjeev
    EXPERT SYSTEMS, 2025, 42 (03)
  • [8] Generative AI in banking: empirical insights on integration, challenges and opportunities in a regulated industry
    Moharrak, Moayad
    Mogaji, Emmanuel
    INTERNATIONAL JOURNAL OF BANK MARKETING, 2025, 43 (04) : 871 - 896
  • [9] Security Strategy of Digital Medical Contents Based on Blockchain in Generative AI Model
    Ko, Hoon
    Ogiela, Marek R.
    CMC-COMPUTERS MATERIALS & CONTINUA, 2025, 82 (01): : 259 - 278
  • [10] An Ethical Perspective on the Democratization of Mental Health With Generative AI
    Elyoseph, Zohar
    Gur, Tamar
    Haber, Yuval
    Simon, Tomer
    Angert, Tal
    Navon, Yuval
    Tal, Amir
    Asman, Oren
    JMIR MENTAL HEALTH, 2024, 11