loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Author: Georgios Stathis

Affiliation: Institute of Tax Law and Economics, Leiden University, Kamerlingh Onnes Building, Steenschuur 25, Leiden, The Netherlands

Keyword(s): LegalTech, Intelligent Contracts, Large Language Models, Explainable AI, User Trustworthiness.

Abstract: Contract automation is a field of LegalTech under Artificial Intelligence (AI) and Law that is currently undergoing a transition from Smart to Intelligent Contracts (iContracts). iContracts aim to full contracting automation. Their main challenge is finding a convincing direction for market adoption. Two powerful market factors are the advent of Large Language Models (LLMs) and AI Regulation. The article investigates how the two factors are able to influence the market adoption of iContracts. Our Research Question reads: to what extent is it possible to accelerate the adoption of Intelligent Contracts with Explainable Large Language Models? Following a literature review our research employs three methodologies: market gap analysis, case study, and application. The results show a clear way for iContracts to follow, based on existing market gaps. Moreover, they validate whether the application of Explainable LLMs is possible. The discussion clarifies the main limitations with Explainab le LLMs. Our conclusion is that the two factors are impactful for so long as the market adoption attempts to bridge the gap between innovators and early adopters. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.14.79.63

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Stathis, G. (2024). Explainable Large Language Models & iContracts. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-680-4; ISSN 2184-433X, SciTePress, pages 1378-1385. DOI: 10.5220/0012607400003636

@conference{icaart24,
author={Georgios Stathis.},
title={Explainable Large Language Models & iContracts},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2024},
pages={1378-1385},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012607400003636},
isbn={978-989-758-680-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Explainable Large Language Models & iContracts
SN - 978-989-758-680-4
IS - 2184-433X
AU - Stathis, G.
PY - 2024
SP - 1378
EP - 1385
DO - 10.5220/0012607400003636
PB - SciTePress