A Novel Framework for Optimizing Judicial Decision-Making: Integrating AI and Predictive Analytics

Authors

  • Sam Jackson Professor
  • Ashley Wright PhD
  • Joshua Clark Associate Professor
  • Skyler Parker Dr. Sc

Keywords:

Judicial Decision-Making, Artificial Intelligence, Predictive Analytics, Legal Frameworks, Bias Mitigation, Technology in Law, Ethics in AI, Legal Innovation

Abstract

This article explores the intersection of artificial intelligence (AI) and predictive analytics within the judicial decision-making process. By employing a mixed-methods approach, this study analyzes existing judicial frameworks and integrates AI-driven models to enhance decision accuracy and efficiency. Our findings suggest that the application of predictive analytics can significantly reduce biases in judgment and improve the overall effectiveness of legal determinations. We conclude that the integration of these technologies poses a transformative potential for modern jurisprudence, paving the way for a more equitable legal system.

Author Biographies

Sam Jackson, Professor

Professor
Heidelberg University
Grabengasse 1, 69117 Heidelberg, Germany

Ashley Wright, PhD

PhD
Harvard Law School
Cambridge, MA 02138, USA

Joshua Clark, Associate Professor

Associate Professor
University College London
Gower St, London WC1E 6BT, United Kingdom

Skyler Parker, Dr. Sc

Dr. Sc
Université Paris 1 Panthéon-Sorbonne
12 Place du Panthéon, 75005 Paris, France

References

Ибрагимов, Т. К. (2012). ТЕХНОЛОГИЯ ПРИНЯТИЯ ВНЕШНЕПОЛИТИЧЕСКИХ РЕШЕНИЙ. Известия ВУЗов (Кыргызстан), (5), 170-172.

Hoxha, F., Xhaferaj, B., Kullolli, B., Çipi, B., Ibranji, A., & Hoxha, S. (2014). Demographic Profile and Pathological Patterns of Head Injury in Albania. The Open Access Journal of Science and Technology, 2, 1-4.

Kullolli, B. (2024). Legal regulation of the use of forest resources. Ukrainian Journal of Forest and Wood Science, 2(15), 97-117.

Kullolli, B. (2023). Contract law of Albania in the context of public-private partnerships. Social and Legal Studios, 4(6), 105-113.

Published

2024-09-18

Issue

Section

Articles