The Influence of Judicial Adjudicators on the Uncertainty of Judicial Decisions

Abstract

One of the fundamental values of the existence of justice is that it psychologically satisfies the human need for stability and certainty, so that imbalances of power and responsibility can be balanced and disputes can be settled. Judicial justice is reflected in the entire process of judicial adjudication, which is subject to uncertainty. Between the two major uncertainties of judicial adjudication -the uncertainty of the rules of judicial adjudication and the uncertainty of the decision of judicial adjudicators -this article focuses on the latter by classifying and analyzing two major aspects, namely internal and external factors. As individuals in the secular world, judicial adjudicators have different knowledge backgrounds, various levels of experience and competence, distinctive institutional deficiencies, and dissimilar motivations for their interests, so that they perceive and apply the rules of adjudication differently, resulting in different outcomes, thus leading to the uncertainty of judicial adjudication. It is of course necessary for judges to maintain their independence, enforce the law strictly and administer justice impartially, and contribute to the establishment of a society governed by the rule of law, but it is even more necessary for us to create conditions to enhance judicial independence and impartiality through judicial reform, so as to reduce the uncertainty of judicial decisions. This paper proposes some countermeasures on how to reduce the uncertainty of judicial adjudication.

The Application and Regulation of Artificial Intelligence Technology in Judicial Adjudication

“…How to improve the analysis and processing capabilities of natural language is one of the difficulties in the research and development of artificial intelligence systems, and it is also an important development direction in the future. Constructing a legal language knowledge graph will help improve natural language processing capabilities [12]. Knowledge graph is to summarize various concepts and their relationships to form a semantic network system.…”