Description
Explainable Artificial Intelligence in Forensic Testimony Analysis
Book Summary
This work offers a pioneering reflection on the integration of explainable artificial intelligence (XAI) into the evaluation of testimonial evidence. The reader will discover a methodological framework that allows for the organization and visualization of the expert's inferential process, improving the transparency and traceability of expert reports. Far from replacing expert judgment, the book proposes a way to strengthen the communication of the criteria used, responding to the current demands of evidentiary law. It is essential reading for professionals seeking rigor, clarity, and foundation in the analysis of testimony within contemporary justice.
What is it about?
Testimony remains a central source of evidence in judicial practice, but its analysis faces growing challenges: the complexity of cases, the volume of information, and the need to precisely articulate expert reasoning. This book examines how testimony is currently evaluated and what requirements emerge when there is a need to justify and communicate the criteria used in a transparent manner.
Based on a rigorous review of available knowledge, the work presents explainable artificial intelligence (XAI) as a tool to structure the inferential process, without replacing expert judgment or compromising due process guarantees. The text proposes an applied framework for reflection on the methodological, ethical, and legal conditions necessary for a responsible integration of technology, psychology, and law. It is the first theoretical contribution of an ongoing doctoral research project, conceived as a progressive program that will continue with empirical validation phases and applied developments.
Main Topics
- Evaluation and analysis of testimonial evidence in the current forensic context.
- Explainable artificial intelligence (XAI) applied to expert reasoning.
- Transparency and traceability in the communication of expert conclusions.
- Methodological, ethical, and legal conditions for the integration of technology into evidentiary law.
- Relationship between forensic psychology, decision-making, and explainable analysis models.
Who is it recommended for?
This book is aimed at forensic psychologists, judicial experts, lawyers, prosecutors, judges, and evidentiary law professionals interested in methodological innovation. It is also highly useful for researchers and postgraduate students in legal psychology, criminology, and forensic sciences who seek to understand how artificial intelligence can improve the quality and transparency of testimonial analysis without substituting expert criteria.
What this book offers
- An applied reflection framework for integrating explainable artificial intelligence into expert practice, improving the clarity and justification of reports.
- Conceptual tools to make the inferential process behind the evaluation of testimony visible and structured, increasing its traceability.
- A critical and well-founded vision of the conditions necessary for a responsible adoption of technology in the judicial sphere, while respecting due process guarantees.
- The starting point of an ongoing doctoral research project, with a projection toward future empirical validations and practical developments.
Technical Sheet
- Author: ECHAIZ RIOS, KENNETH MATIAS
- Publisher: J.M.BOSCH
- Language: Spanish
- Subject: Civil procedure: evidentiary law, Criminal procedure: evidentiary law
- Collection: LAW
- Publication Date: February 2026
- Number of pages: 120
- Weight: 300 g
Editorial Review
This work represents a novel and necessary contribution at the intersection of forensic psychology, evidentiary law, and technology. Its focus, centered on explainable artificial intelligence, addresses a growing demand in the judicial field: the need for expert conclusions to be not only accurate, but also understandable and traceable. The book stands out for its methodological rigor and its ability to propose a framework for applied reflection, without falling into simplistic solutions. It is especially valuable for professionals seeking to update their practices with solid and ethical criteria, and for researchers interested in the future of testimonial evidence.