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


연구 분야: Artificial Intelligence



학회: World Conference on Explainable Artificial Intelligence


초록

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.


Author Profile
Swati Sachan

Financial Technology Management School University of Liverpool Liverpool L69 7ZH UK

정보 없음
Author Profile
Vinicius Dezem

Knowledge Engineering Federal University of Santa Catarina Florianopolis Brazil

Brazil
Author Profile
Dale Fickett

Robins School of Business University of Richmond Virginia VA 23173 USA

United States

📄 논문 정보

발행 연도 2024년
인용수 0
출판 국가 Brazil, United States
사이트 Springer
좋아요 수 0

연관 논문 목록 (101건)