The Evolution of Emerging Technologies IN Police Intelligence: an integrated analysis of academic publications and patents in AI and biometric recognition

Authors

DOI:

https://doi.org/10.9771/cp.v19i3.67965

Keywords:

Data Mining, Public Safety Technologies, Predictive Analytics.

Abstract

This article maps the evolution, from 2000 to 2025, of emerging technologies in police intelligence through an integrated analysis of academic publications and patents identified on The Lens platform. The literature review and patent search reveal studies on AI in investigations, biometric recognition, and predictive analytics. Employing descriptive statistics and systematic comparison, the work highlights the predominance of Anglophone centers, its interdisciplinary nature (Computer Science, Sociology, Law), and the gap between conceptual debate and practical application. It concludes by emphasizing the need for empirical validations in real‐world operations, algorithmic bias assessments, and longitudinal case studies to guide the development of robust and responsible technological solutions for public safety.

Downloads

Download data is not yet available.

Author Biographies

Andreia Rodrigues Ferreira Baro, Federal University of Sergipe

Master in Intellectual Property and Technology Transfer for Innovation from the Federal University of Alagoas.

João Paulo Albuquerque Souza, Fundación Focus

Postgraduate Specialist in Information Security from Faculdade Focus (Cascavel, PR).

References

BARBOSA, R. A. Os Estados Unidos pós 11 de setembro de 2001: implicações para a ordem mundial e para o Brasil. Revista Brasileira de Política Internacional, Marília, v. 45, n. 1, p. 72-91, 2002. DOI: 10.1590/S0034-73292002000100003.

GALDON CLAVELL, G. Exploring the ethical, organisational and technological challenges of crime mapping: a critical approach to urban safety technologies. Ethics and Information Technology, v. 20, p. 265-277, 2018. Disponível em: https://doi.org/10.1007/s10676-018-9477-1. Acesso em: 13 jun. 2025.

NISSAN, E. An overview of data mining for combating crime. Applied Artificial Intelligence, v. 26, n. 8, p. 760-786, 2012. DOI: 10.1080/08839514.2012.713309.

OATLEY, G.; EWART, B.; ZELEZNIKOW, J. Decision support systems for police: lessons from the application of data mining techniques to “soft” forensic evidence. Artificial Intelligence and Law, Dordrecht, v. 14, p. 35-100, 2006. DOI: 10.1007/s10506-006-9023-z.

PAZ, Fernando Eduardo Ramos. Consolidação da análise de vínculos no Centro de Inteligência da PMDF. Revista Ciência & Polícia, Brasília, DF, v. 8, n. 1, p. 148-170, 2022. ISSN 2316-8765. Disponível em: https://www.lens.org/lens/scholar/article/036-802-918-571-87X/main. Acesso em: 15 jun. 2025.

REJAS DE LA PEÑA, A. F. et al. Las aplicaciones de inteligencia artificial: herramientas esenciales para fortalecer la lucha contra la criminalidad. Arandu UTIC, v. 12, n. 2, p. 670-691, 2025. DOI: 10.69639/arandu.v12i2.949.

SACHOULIDOU, Athina. Going beyond the "common suspects": to be presumed innocent in the era of algorithms, big data and artificial intelligence. Artificial Intelligence and Law. Springer, 2023. Disponível em: https://doi.org/10.1007/s10506-023-09347-w. Acesso em: 12 jun. 2025.

SOARES, J. C.; PACÍFICO, A. M. C. P. As consequências dos atentados de 11 de setembro de 2001 para a economia brasileira. Brazilian Journal of International Relations, Marília, SP, v. 12, n. 1, p. 45-60, 2023. DOI: 10.36311/2237-7743.2023.v12n1.p45-60.

THE LENS. Página de busca. 2025. Disponível em: https://about.lens.org/. Acesso em: 12 jun. 2025.

Published

2026-07-01

How to Cite

Baro, A. R. F., & Souza, J. P. A. . (2026). The Evolution of Emerging Technologies IN Police Intelligence: an integrated analysis of academic publications and patents in AI and biometric recognition. Cadernos De Prospecção, 19(3), 1–12. https://doi.org/10.9771/cp.v19i3.67965

Issue

Section

Prospecções Tecnológicas de Assuntos Específicos