The Applicability of Artificial Intelligence in International Law

Author:Young-Yik Rhim - KyungBae Park
Position:The first and corresponding author. Representative Lawyer and CEO of Intellicon Metalab; Adjunct Professor of Mass Communication and Public Relation at Konkuk University (Seoul, Korea); Member and Judge of ICAIL; Vice President of Korean Association for Artificial Intelligence and Law. ORCID: https://orcid.org/0000-0001-9252-4159. The author...
Pages:7-30
SUMMARY

Law reacts to the progression of scientific technology in the end. Though conservative, changes are beginning to take place due to Artificial Intelligence (AI). AI is automating conventional legal works, creating a new industry namely Legal-Tech. This paper investigates the characteristics and flow of legal-AI and computational law while focusing on the applicability of AI to international law.... (see full summary)

 
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Young-Yik Rhim
& KyungBae Park
∗∗
   

    
    


     
     
      

    

Keywords
International Law, Artificial Intelligence, Machine Learning, Deep
Learning, Computational Law, Legal-Tech, ODR, Trial Prediction, Machine
translation
The first and corresponding author. Representative Lawyer and CEO of Intellicon Metalab; Adjunct Professor of Mass
Communication and Public Relation at Konkuk University (Seoul, Korea); Member and Judge of ICAIL; Vice President of
Korean Association for Artificial Intelligence and Law. ORCID: https://orcid.org/0000-0001-9252-4159. The author may
be contacted at: ceo@intellicon.co.kr / Address: 554, Nonhyeon-ro, Gangnam-gu, Seoul 06136 Korea.
∗∗ The second author. Researcher at Intellicon Metalab. Ph.D.(Kyungbook N.U.) The author may be contacted at: kbp@
intellicon.co.kr
The Applicability


J. EAST ASIA & INTL L. Vol. 12/No.1 (2019); 7-30
Publication type : Research Article
Section : Issue Focus
DOI : http://dx.doi.org/10.14330/jeail.2019.12.1.01
8 Rhim & Park

 
(). They have become familiar to us after AlphaGo. However, its history dates
       
Neural Network (ANN) which emulates the human- neural networks. McCulloch
and Pitts (1943)
1
proposed the first mathematical model of the ANN. Using the
McCulloch-Pitts model, Frank Rosenblatt (1957)
2
invented the ANN-Algorithm
(Perceptron). ANN and Perceptron created the concept of Machine Learning which
      
     
    
classified into Rule-based and Learning-based (Machine learning). These two
methodologies have advantages and disadvantages, respectively.
   
3
other than ANN, but ANN is
the representative algorithm. ANN created a concept called Machine Learning and
     
      
       
      
published a monumental paper
4
with the support of Canada. This paper revealed
that the chronic issues of the ANN could be resolved through pre-training of data
and marked a new milestone in the research on ANN. After this paper, the word,
Deep learning   
5
the Hinton team won with
overwhelming performance at the   
Competition (),   
      
     
   
1 W. McCulloch & W. Pitts, A Logical Calculus of the Ideas Immanent in Nervous Activity, 5 BULL. MATH. BIOPHYSICS
115-33 (1943).
2 F. ROSENBLATT, THE PERCEPTRON, A PERCEIVING AND RECOGNIZING AUTOMATON PROJECT PARA 1-29 (Cornell Aeronautical
Laboratory ed., 1957).
3 For example, Regression, Decision Tree, Naive Bayes, Support Vector Machine, etc.
4 G. Hinton, et al., A Fast Learning Algorithm for Deep Belief Nets, 18 NEURAL COMPUTATION 1527-54 (2006).
5 A. Krizhevsky, et al., Imagenet Classification with Deep Convolutional Neural Networks, 25(2) ADVANCES IN NEURAL
INFORMATION PROCESSING SYSTEMS 1097-105 (2012).

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