Exploring the Nexus: Cyberlaw and Artificial Intelligence Research Trends


Menjelajahi Nexus: Tren Penelitian Cyberlaw dan Kecerdasan Buatan


  • (1) * Dela Cornelia Helen Indriavita            Universitas Muhammadiyah Sidoarjo  
            Indonesia

  • (2)  Sri Budi Purwaningsih            Universitas Muhammadiyah Sidoarjo  
            Indonesia

  • (3)  Rizqi Hasan            Universitas Muhammadiyah Sidoarjo  
            Indonesia
    (*) Corresponding Author

DOI: https://doi.org/10.21070/icecrs.v12i2.1535

Abstract

This dataset, "Cyberlaw OR Cyber Law AND Artificial Intelligence: A Comprehensive Study," meticulously analyzes 2,345 journal articles from Lens.org, examining the intersection of Cyberlaw and Artificial Intelligence. Employing systematic methodologies, the study highlights trends: University of Liverpool leads, Computer Science dominates, with prolific authors like Giovanni Sartor. Global impact is evident with the UK as an active contributor. Top publishers, including Springer Nature, contribute significantly. This resource offers nuanced insights into this complex legal-tech interaction, benefiting researchers, students, and journalists for informed decision-making and future studies in Cyberlaw and AI.

Highlights :

  • Detailed analysis of Cyberlaw and Artificial Intelligence intersections from Lens.org.
  • Dominance of Computer Science and notable contributors like Giovanni Sartor.
  • Global impact and insights aiding informed decisions in this critical legal-tech domain.

Keywords: Cyberlaw, Artificial Intelligence, Journal Articles, Research Trends, Scholarly Publications

Downloads

Download data is not yet available.

References

H. Prakken and G. Sartor, "A dialectical model of assessing conflicting arguments in legal reasoning," Artif. Intell. Law, vol. 4, no. 3, pp. 331-368, 1996.

Y. Cherdantseva et al., "A review of cyber security risk assessment methods for SCADA systems,"Comput. Secur, vol. 56, pp. 1-27, 2016.

M. Ring, S. Wunderlich, D. Scheuring, D. Landes, and A. Hotho, "A Survey of Network-based Intrusion Detection Data Sets," Comput. Secur., vol. 86, pp. 147-167, 2019.

M. P. Singh, "An ontology for commitments in multiagent systems," Artif. Intell. Law, vol. 7, no. 1, pp. 97-113, 1999.

R. Mochales and M.-F. Moens, "Argumentation mining," Artif. Intell. Law, vol. 19, no. 1, pp. 1-22, Apr. 2011.

E. Ferrara, "Disinformation and social bot operations in the run up to the 2017 French presidential election," First Monday, vol. 22, no. 8, Jul. 2017.

N. Bostrom, "Human Genetic Enhancements: A Transhumanist Perspective," J. Value Inq., vol. 37, no. 4, pp. 493-506, 2003.

T. Q. Sun and R. Medaglia, "Mapping the Challenges of Artificial Intelligence in the Public Sector: Evidence from Public Healthcare," Gov. Inf. Q., vol. 36, no. 2, pp. 368-383, 2019.

S. Bibas, "Plea Bargaining Outside the Shadow of Trial," Harv. Law Rev., vol. 117, no. 8, p. 2463, 2004.

I. Arel, C. Liu, T. Urbanik, and A. G. Kohls, "Reinforcement learning-based multi-agent system for network traffic signal control," *IET Intell. Transp. Syst.*, vol. 4, no. 2, pp. 128-135, 2010.

Picture in here are illustration from public domain image (License) or provided by the author, as part of their works
Published
2023-10-13
 
How to Cite
Indriavita, D. C. H., Purwaningsih, S. B., & Hasan, R. (2023). Exploring the Nexus: Cyberlaw and Artificial Intelligence Research Trends. Proceedings of The ICECRS, 12(1). https://doi.org/10.21070/icecrs.v12i2.1535
Issue
Vol 12 No 1 (2023): Proceedings of Data in Education, Culture, and Interdisciplinary Studies
Section
Data Articles in Law Science

Copyright (c) 2023 Dela Cornelia Helen Indriavita, Sri Budi Purwaningsih

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Crossref
Scopus
Google Scholar
Europe PMC