Abstract
The need for studies connecting machine explainability with human behavior is essential, especially for a detailed understanding of a human’s perspective, thoughts, and sensations according to a context. A novel system called RYEL was developed based on Subject-Matter Experts (SME) to investigate new techniques for acquiring higher-order thinking, the perception, the use of new computational explanatory techniques, support decision-making, and the judge’s cognition and behavior. Thus, a new spectrum is covered and promises to be a new area of study called Interpretation-Assessment/Assessment-Interpretation (IA-AI), consisting of explaining machine inferences and the interpretation and assessment from a human. It allows expressing a semantic, ontological, and hermeneutical meaning related to the psyche of a human (judge). The system has an interpretative and explanatory nature, and in the future, could be used in other domains of discourse. More than 33 experts in Law and Artificial Intelligence validated the functional design. More than 26 judges, most of them specializing in psychology and criminology from Colombia, Ecuador, Panama, Spain, Argentina, and Costa Rica, participated in the experiments. The results of the experimentation have been very positive. As a challenge, this research represents a paradigm shift in legal data processing.
Highlights
Colombia and Ecuador presented different results that are very close to 90% acceptance because some of the legal cases used for experimentation did not contain the names of regulations from those countries, and the judges belonging to them wanted to evaluate the names related to their legislation
The behavioral response of the judges was quite positive in accepting the use of this technology to analyze the merits of a case
Experimentation with the system was exclusively using interrelated images and the IA-Artificial Intelligence (AI) method, making a big difference; No judge who used the system and obtained a User Experience (UX) saw a threat of decision-making bias because the system did not impose solutions but instead allowed the judge to dissect a case and analyze how other judges had perceived the facts and evidence to formulate their conclusions criteria
Summary
In the legal area, it means to get an intelligent and coherent explanation of the legal analysis made by a human in a particular scenario of a previous case and find the reasons about why a particular law was used [3] in order to support decision-making when other judges are dictating a resolution This situation seems superfluous, but it is not, because it usually would imply navigating between a complicated set of theories that range from cognitive learning theories [4,5], instructional design [6], cognitive theory [7], and information processing theory [8], among others. It is possible to lead efforts to work with higher-order thinking [11] using the technology like a meta-media [12] to manage meta-knowledge
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