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Journals / Kamu Yönetimi ve Teknoloji Dergisi / 2026 / Cilt: 8 Sayı: 1

An Analysis of Academic Trends in Artificial Intelligence-Supported Law Enforcement Applications

Yapay Zeka Destekli Kolluk Kuvvetleri Uygulamalarında Akademik Eğilimlerin Analizi

Bora Aslan(KIRKLARELİ ÜNİVERSİTESİ)0000-0002-8069-8204
Füsun Yavuzer Aslan(KIRKLARELİ ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ)0000-0001-7096-3425
Pages
59–87
Publication Date
2026-03-24
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The findings indicate a growing research focus on artificial intelligence based crime prediction systems, forensic applications, and facial recognition technologies in law enforcement.

📌 3 Key Takeaways

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Objective & Hypothesis:Artificial intelligence is increasingly being utilized by law enforcement agencies to enhance the effectiveness of operations in crime analysis, surveillance, and digital forensics.
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Key Findings & Data:A total of 238 academic studies were analyzed based on a search conducted in the Web of Science (WoS) database.
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Conclusion & Impact:The findings indicate a growing research focus on artificial intelligence based crime prediction systems, forensic applications, and facial recognition technologies in law enforcement.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Yapay Zeka · Kolluk Güçleri · Akademik Eğilimler

Abstract

Artificial intelligence is increasingly being utilized by law enforcement agencies to enhance the effectiveness of operations in crime analysis, surveillance, and digital forensics. This study examines the intersection of artificial intelligence and law enforcement through bibliometric and semantic analysis, revealing trends in the academic literature. A total of 238 academic studies were analyzed based on a search conducted in the Web of Science (WoS) database. The bibliometric analysis evaluated the numerical distribution of publications, citation networks, keyword frequencies, and scientific collaborations. In the semantic analysis, key themes within the studies were identified using data mining techniques. As a result, five main clusters were determined: digital media and illicit content monitoring, facial recognition technology and legal applications, crime prediction and data-driven legal models, digital forensics and evidence analysis, and artificial intelligence and legal regulations. The findings indicate a growing research focus on artificial intelligence based crime prediction systems, forensic applications, and facial recognition technologies in law enforcement. This study highlights the opportunities artificial intelligence presents for security policies while emphasizing the need for careful regulations regarding ethical, legal, and privacy concerns. Greater transparency, accountability, and efforts to mitigate algorithmic bias are necessary for the responsible integration of artificial intelligence in law enforcement.

Özet

Yapay zeka, kolluk kuvvetlerinin suç analizi, gözetim ve adli bilişim gibi operasyonlarını daha etkili hale getirmek için giderek daha fazla kullanılmaktadır. Bu çalışma, yapay zekanın kolluk kuvvetleriyle kesişimini bibliyometrik ve semantik analiz yöntemleriyle inceleyerek akademik literatürdeki eğilimleri ortaya koymaktadır. Web of Science (WoS) veri tabanında yapılan tarama sonucunda 238 akademik çalışma analiz edilmiştir. Bibliyometrik analiz kapsamında yayınların sayısal dağılımı, atıf ağları, anahtar kelime frekansları ve bilimsel işbirlikleri değerlendirilmiştir. Semantik analiz ile çalışmalardaki temel temalar veri madenciliği teknikleri ile belirlenmiştir. Bu şekilde beş ana küme tespit edilmiştir: dijital medya ve yasadışı içerik takibi, yüz tanıma teknolojisi ve hukuki uygulamaları, suç tahmini ve veri tabanlı hukuki modeller, dijital adli bilişim ve kanıt analizi, yapay zeka ve hukuki düzenlemeler. Özellikle yapay zeka tabanlı suç tahmini sistemleri, adli bilişim uygulamaları ve yüz tanıma teknolojilerinin kolluk kuvvetlerinde kullanımına dair araştırmaların yoğunlaştığı tespit edilmiştir. Bu çalışma, yapay zekanın güvenlik politikalarında önemli fırsatlar sunduğunu ancak etik, hukuki ve mahremiyet konularında dikkatli düzenlemeler gerektirdiğini vurgulamaktadır. Şeffaflık, hesap verebilirlik ve algoritmik önyargıların önlenmesi için daha fazla araştırmaya ihtiyaç duyulmaktadır.

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Cite This Article

Aslan, B., Aslan, F. Y. (2026). An Analysis of Academic Trends in Artificial Intelligence-Supported Law Enforcement Applications. Kamu Yönetimi ve Teknoloji Dergisi, Cilt: 8 Sayı: 1, 59–87. https://doi.org/10.58307/kaytek.1699454

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