THE ROLE OF DATA SCIENCE AND ARTIFICIAL INTELLIGENCE IN INCREASING THE EFFICIENCY OF THE SPECIALIST INVESTIGATOR IN CRIMINAL PROCEDURE LAW
THE ROLE OF DATA SCIENCE AND ARTIFICIAL INTELLIGENCE IN INCREASING THE EFFICIENCY OF THE SPECIALIST INVESTIGATOR IN CRIMINAL PROCEDURE LAW
Author(s): Carmen ParaschivSubject(s): Law, Constitution, Jurisprudence
Published by: Österreichische Nationalbibliothek Wien/ Österreichisch-Rumänischer Akademischer Verein
Keywords: Machine learning; Data science; Decision algorithms; Artificial intelligence; Transparency and accountability; Data protection; Equity in algorithmic systems; criminal procedural law; correlations;
Summary/Abstract: This article explores how data science and artificial intelligence (AI) can improve the efficiency of specialized investigators in the field of criminal procedural law. By leveraging these technologies, investigators can enhance various aspects of the investigative process, leading to more effective and efficient outcomes.Data science enables investigators to analyze large volumes of data, including criminal records, forensic evidence, witness statements, and digital data. By utilizing machine learning algorithms and AI models, investigators can uncover patterns, correlations, and anomalies that may not be immediately apparent. This helps in identifying leads, connections between cases, and even predicting criminal behavior.AI-powered tools automate labor-intensive tasks, saving investigators time and resources. Natural Language Processing (NLP) algorithms assist in the automated analysis of legal texts, enabling quick access to relevant legal precedents, case laws, and statutes. AI systems aid in the review and organization of evidence, helping investigators prioritize efforts and focus on critical aspects of a case.Data science and AI enhance investigative decision-making by utilizing advanced analytics and predictive modeling. Investigators can assess the likelihood of a suspect's involvement in a crime, evaluate evidence strength, and make informed decisions regarding resource allocation and case prioritization. This data-driven approach reduces biases and increases objectivity.However, ethical considerations and safeguards are essential in the application of data science and AI in criminal procedural law. Privacy concerns, data security, and transparency in algorithmic decision-making should be addressed to ensure responsible and fair use of these technologies.In conclusion, data science and artificial intelligence have the potential to significantly enhance the efficiency and effectiveness of specialized investigators in criminal procedural law. These technologies allow investigators to leverage data, automate tasks, and make data-driven decisions, ultimately leading to improved outcomes in the investigative process.
Journal: Conferința Internațională Educație și Creativitate pentru o Societate Bazată pe Cunoaștere - DREPT
- Issue Year: XVII/2023
- Issue No: XVII
- Page Range: 22-27
- Page Count: 6
- Language: English
