The Quarterly Journal of Judicial Law Views

Application of Artificial Intelligence in Judicial Proceedings, the Challenge of Transparency and its Solutions

Document Type : p

Authors

ahmad hosseini

zohreh abdekhodaee

mohammad sharifkhani

10.22034/jlvi.2023.1998519.0

Abstract

Today, artificial intelligence is effective on many aspects of the human’s life. The cause can be known the speed and accuracy of artificial intelligence in the processing of a huge amount of data in a short time and consequently increasing of speed and accuracy in of human affairs. One of these aspects is the use of artificial intelligence in judicial proceedings. The speed and accuracy of artificial intelligence, in addition to the elimination of trial prolongation, leads to the minimization of damages of human fault in trial. But, despite these advantages, the special nature of artificial intelligence and its huge amount of data, causes the lack of enough transparency in its operation. So the entrance of artificial intelligence in judgeship, despite high desired advantages, can lead to loss of transparency in judicial proceedings and raises the fundamental challenge of how to minimize the adverse effects of lack of transparency while enjoying the benefits of artificial intelligence in judicial proceedings? With respect to all aspects, “supervision” in various levels of design, training and use of artificial intelligence is the best solution in this way. An appearance that can be done from different dimensions, in different stages and by competent institutions.

Keywords

Judicial Proceedings

Transparency

Supervision

Artificial Intelligence

Speed

Accuracy

dor

20.1001.1.22520007.1402.28.101.3.5

Baum, S. D. (2017), Social Choice Ethics in Artificial Intelligence, Global Catastrophic Risk Institute
Bertino, E., Kundu, A., & Sura, Z. (2019), “Data Transparency with Blockchain and AI Ethics’, Journal of Data and Information Quality, Vol.11, No.4. Article16.
Carly Nyst (2017), Privacy, Protection of Personal Information and Reputation, Discussion Paper Series: Children’s Rights and Business in a Digital World. UNICEF Child Rights & Business Unit
Carvalho, D.V., Pereira, E. M., & Cardoso, J. S. (2019), “Machine Learning Interpretability: A Survey on Methods and Metrics”, MDPI Electronics, Vol.8.
Cioffi, R., Travaglioni, M., Piscitelli, D., Petrillo, A., & De Felice, F. (2020), “Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions”, Sustainability Journal, Vol.12.
Delponte, L. (2018), European Artificial Intelligence Leadership, the path for an integrated vision, Policy Department for Economic, Scientific and Quality of Life Policies. Directorate – General for Internal Policies.
Giuffrida, I., Lederer, F., & Vermeys, N. (2018), “A Legal Perspective on the Trials and Tribulations of AI: How Artificial Intelligence, the Internet of Things, Smart Contracts, and Other Technologies Will Affect the Law”, Case Western Reserve Law Review, Vol.68, Issue3.
General Data Protection Regulations (GDPR (.
High Level Expert Group on Artificial Intelligence (2018), Ethics Guidelines for Trustworthy AI.
International Telecommunication Union (2019), United Nations Activities on Artificial Intelligence, Geneva
Larsson,S & Heintz, F. (2020), “Transparency in Artificial Intelligence”, Internet Policy Revlew, Vol9
Leslie, D. (2019), Understanding Artificial Intelligence Ethics and Safety; A Guide for Responsible Design and Implementation of AI Systems in the Public Sector, The Alan Turing Institute.
Margetts, H. (2011), “The Internet and Transparency”, The Political Quarterly, Vol.82, No. 4.
Montavon, G., Samek, W., & Müller, K.-R. (2018), “Methods for interpreting and understanding deep neural networks”, Digital Signal Processing, Vol.73.
Moore, A. (2020), Carnegie Mellon Dean of Computer Science on the Future of AI. Available online: https://www.forbes.com/sites /peterhigh/2017/10/30/carnegie-mellon-dean-of-computer-science-onthe-future-of-ai/#3a283c652197 (accessed on May29, 2020).
Office of the Victorian Information Comissioner (2018), Artificial Intelligence and Privacy.
Parveen, R. (2018), “Artificial intelligence in construction industry Legal Issues and regulatory challenges”, International Journal of Civil Engineering and Technology, Vol.9, Issue13.
Policy Division of the Software & Information Industry Association (2017), Ethical Principles for Artificial Intelligence and Data Analytics.
Poola, I. (2017), “How Artificial Intelligence in Impacting Real Life Every day”, International Journal of Advance Research and Development, Vol2. Issue10
Roy, A. (2018(, National Strategy for Artificial Intelligence #AIFORALL, India: Discussion paper .
Scantamburlo, T., Charlesworth, A., & Cristianini, N. (2019), “Machine decisions and human consequences”, In: Yeung, K., Lodge, M.(editors), Algorithmic regulation, Oxford University Press
Shabbir, J., & Anwer, T. (2015), “Artificial Intelligence and its Role in Near Future”, Journal of Latex Class Files, Vol.14, No.8.
The ethics of AI. Asia’s AI Agenda. MIT Technology Review (insights/research).
The Federal Government Artificial Intelligence Strategy (2018), Germany: The Federal Ministry of Education and Research, The Federal Ministry of Economic Affairs and Energy and The Federal ministry of Labour and Social Affairs.
Education Sector (2019), Artiicial Intelligence in Education: Challenges and Opportunities for Sustainable Development.
Wischmeyer, T., & Rademacher, T. (2020), Regulating Artificial Intelligence, Springer.
Yavuz, C. (2019), Machine Bias: Artificial Intelligence and Discrimination, Faculty of Law, Sweden: Lund University
Zednik, C. (2018), Solving the Black Box Problem: A Normative Framework for Explainable Artificial Intelligence, Germany: University of Magdeburg.

The Quarterly Journal of Judicial Law Views

Volume 28, Issue 101 - Serial Number 101
Summer 2023
Pages 67-90

Receive Date 17 January 2022
Accept Date 11 September 2023

Article View 9,176
PDF Download 5,256